Hello,
Is there anyway to determine when a machine physically receives a UDP packet from the network?
Thanks!Hello,
Is there anyway to determine when a machine physically receives a UDP packet from the network?
Thanks! Hello,
Is there anyway to determine when a machine physically receives a UDP packet from the network?
Thanks! udp MATLAB Answers — New Questions

​

I have an Arduino Uno device and have attempted to attach it to one of my computer’s COM Ports via a USB cable. I have downloaded the MATLAB Support Package for Arduino Hardware, and ensured that it is correctly accessed by my MATLAB installation via the following commands:

>> restoredefaultpath
>> rehash toolboxcache
Following this, I enter the "arduinosetup" command into my MATLAB Command Window, and follow the instructions described in the following MATLAB Documentation:
https://www.mathworks.com/help/supportpkg/arduinoio/ug/configure-setup-for-arduino-hardware.html

I have ensured that I am selecting both the correct board as well as the correct COM port. However, when I press "Program", I receive the following error message:

Failed to program the arduino board. Click the following link to see the error log. Contact Technical support if you need more help.
Clicking the link in that message provides me a TXT file with a fairly large stack trace. The most important lines, however, seem to be at the end. These read the following:

avrdude: Version 6.3-20190619
Copyright (c) 2000-2005 Brian Dean, http://www.bdmicro.com/
Copyright (c) 2007-2014 Joerg Wunsch

System wide configuration file is "C:ProgramDataMATLABSupportPackagesR2023aaIDEhardwaretoolsavr/etc/avrdude.conf"

Using Port : COM5
Using Programmer : arduino
Overriding Baud Rate : 115200
avrdude: ser_open(): can’t set com-state for "\.COM5"

avrdude done. Thank you.

An error occurred while uploading the sketch
Upon receiving this error, I tried a few initial troubleshooting steps:Uninstalling and then reinstalling the MATLAB Support Package for Arduino Hardware.Connecting to a different COM port.Restarting both my system and my Arduino board.
Unfortunately, none of the above steps changed the resulting error message. How do I fix this and ensure that I am able to interact with my Arduino board via MATLAB?I have an Arduino Uno device and have attempted to attach it to one of my computer’s COM Ports via a USB cable. I have downloaded the MATLAB Support Package for Arduino Hardware, and ensured that it is correctly accessed by my MATLAB installation via the following commands:

>> restoredefaultpath
>> rehash toolboxcache
Following this, I enter the "arduinosetup" command into my MATLAB Command Window, and follow the instructions described in the following MATLAB Documentation:
https://www.mathworks.com/help/supportpkg/arduinoio/ug/configure-setup-for-arduino-hardware.html

I have ensured that I am selecting both the correct board as well as the correct COM port. However, when I press "Program", I receive the following error message:

Failed to program the arduino board. Click the following link to see the error log. Contact Technical support if you need more help.
Clicking the link in that message provides me a TXT file with a fairly large stack trace. The most important lines, however, seem to be at the end. These read the following:

avrdude: Version 6.3-20190619
Copyright (c) 2000-2005 Brian Dean, http://www.bdmicro.com/
Copyright (c) 2007-2014 Joerg Wunsch

System wide configuration file is "C:ProgramDataMATLABSupportPackagesR2023aaIDEhardwaretoolsavr/etc/avrdude.conf"

Using Port : COM5
Using Programmer : arduino
Overriding Baud Rate : 115200
avrdude: ser_open(): can’t set com-state for "\.COM5"

avrdude done. Thank you.

An error occurred while uploading the sketch
Upon receiving this error, I tried a few initial troubleshooting steps:Uninstalling and then reinstalling the MATLAB Support Package for Arduino Hardware.Connecting to a different COM port.Restarting both my system and my Arduino board.
Unfortunately, none of the above steps changed the resulting error message. How do I fix this and ensure that I am able to interact with my Arduino board via MATLAB? I have an Arduino Uno device and have attempted to attach it to one of my computer’s COM Ports via a USB cable. I have downloaded the MATLAB Support Package for Arduino Hardware, and ensured that it is correctly accessed by my MATLAB installation via the following commands:

>> restoredefaultpath
>> rehash toolboxcache
Following this, I enter the "arduinosetup" command into my MATLAB Command Window, and follow the instructions described in the following MATLAB Documentation:
https://www.mathworks.com/help/supportpkg/arduinoio/ug/configure-setup-for-arduino-hardware.html

I have ensured that I am selecting both the correct board as well as the correct COM port. However, when I press "Program", I receive the following error message:

Failed to program the arduino board. Click the following link to see the error log. Contact Technical support if you need more help.
Clicking the link in that message provides me a TXT file with a fairly large stack trace. The most important lines, however, seem to be at the end. These read the following:

avrdude: Version 6.3-20190619
Copyright (c) 2000-2005 Brian Dean, http://www.bdmicro.com/
Copyright (c) 2007-2014 Joerg Wunsch

System wide configuration file is "C:ProgramDataMATLABSupportPackagesR2023aaIDEhardwaretoolsavr/etc/avrdude.conf"

Using Port : COM5
Using Programmer : arduino
Overriding Baud Rate : 115200
avrdude: ser_open(): can’t set com-state for "\.COM5"

avrdude done. Thank you.

An error occurred while uploading the sketch
Upon receiving this error, I tried a few initial troubleshooting steps:Uninstalling and then reinstalling the MATLAB Support Package for Arduino Hardware.Connecting to a different COM port.Restarting both my system and my Arduino board.
Unfortunately, none of the above steps changed the resulting error message. How do I fix this and ensure that I am able to interact with my Arduino board via MATLAB? arduino, program, driver, drivers, avrdude, com, port MATLAB Answers — New Questions

​

Dear all,
I am using symbolic integration in Matlab (in particular the "int"-function). I would like to use it as a reference in my research. Therefore, it would be nice to obtain some details which methods Matlab is actually using. Does anybody know? Is there a source to get more details?
Best,
MichaelDear all,
I am using symbolic integration in Matlab (in particular the "int"-function). I would like to use it as a reference in my research. Therefore, it would be nice to obtain some details which methods Matlab is actually using. Does anybody know? Is there a source to get more details?
Best,
Michael Dear all,
I am using symbolic integration in Matlab (in particular the "int"-function). I would like to use it as a reference in my research. Therefore, it would be nice to obtain some details which methods Matlab is actually using. Does anybody know? Is there a source to get more details?
Best,
Michael integration, symbolic, theory MATLAB Answers — New Questions

​

Hello, i wrote a code and it works while running the script. but when i use it in an app this error shows up Attempt to add "theta" to a static workspace. can somebody help me out. thanks
The code:
%% Constants and parameters
J1 = 1; % Polarization of outer magnet
J2 = 1; % Polarization of inner magnet
u0 = pi*4e-7; % Magnetic constant

%% Position vectors, define appropriately
r = [0.25, 0.3, 0.20 , 0.24]; % radius of magnets (outer to inner)
z = [0.05, 0.15, 0.08, 0.18]; % z cordinate of magnets (outer to inner)

%% main function g
g = @(a, b, c) computeG(a, b, c);

% Initialize F_Z
F_Z = 0;

% Compute F_Z based on the given formula
for i = 1:2
for k = 1:2
for j = 3:4
for l = 3:4
deltaZ = z(k) – z(l);
ri2 = r(i)^2;
rj2 = r(j)^2;
Fijkl = r(i) * r(j) * g(deltaZ, ri2+rj2+deltaZ^2, -2 * r(i) * r(j));
power = 1 + i + j + k + l;
F_Z = F_Z + ((-1)^power) * Fijkl;
end
end
end
end

F_Z = ((J1 * J2) / (2 * u0)) * F_Z;

%% Define the function computeG
function result = computeG(a, b, c)
A = (a^2 – b) / c * pi + sqrt(c^2 – (a^2 – b)^2) / c *(log((-16 * c^2) / ((c^2 – (a^2 – b)^2)^1.5)) + log(c^2 / ((c^2 – (a^2 – b)^2)^1.5)));

S = computeS(a, b, c);
result = A + S;
end

%% Define the function computeS
function S = computeS(a, b, c)
% Define constants
epsilon = c / (c – b);
beta = (b + c) / (b – c);
mu = c / (b + c);

% Calculate terms for S
term1 = (2 * 1i * a) / (c * sqrt(b + c)) * …
((b + c) * ellipticE(asin(sqrt(beta)), beta^(-1)) – c * ellipticF(asin(sqrt(beta)), beta^(-1)));
term2 = (2 * a) / (c * sqrt(b – c) * sqrt(epsilon)) * …
(c / sqrt(mu) * ellipticE1(1 / beta) – c * sqrt(mu) * ellipticK(1 / beta));
term3 = sqrt(epsilon * (1 / beta)) * …
((b – a^2) * ellipticK(2 * mu) + (a^2 – b + c) * ellipticPi(2 * c / (c + b – a^2), 2 * mu));

% Sum all terms
S = term1 + term2 + term3;
end

% Elliptic integral functions using symbolic math toolbox
function val = ellipticK(m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticF(phi, m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE(phi, m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE1(m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticPi(n, m)
syms theta;
val = double(int(1 / (sqrt(1 – n * sin(theta)^2) * sqrt(1 – m * sin(theta)^2)), theta, 0, pi/2));
endHello, i wrote a code and it works while running the script. but when i use it in an app this error shows up Attempt to add "theta" to a static workspace. can somebody help me out. thanks
The code:
%% Constants and parameters
J1 = 1; % Polarization of outer magnet
J2 = 1; % Polarization of inner magnet
u0 = pi*4e-7; % Magnetic constant

%% Position vectors, define appropriately
r = [0.25, 0.3, 0.20 , 0.24]; % radius of magnets (outer to inner)
z = [0.05, 0.15, 0.08, 0.18]; % z cordinate of magnets (outer to inner)

%% main function g
g = @(a, b, c) computeG(a, b, c);

% Initialize F_Z
F_Z = 0;

% Compute F_Z based on the given formula
for i = 1:2
for k = 1:2
for j = 3:4
for l = 3:4
deltaZ = z(k) – z(l);
ri2 = r(i)^2;
rj2 = r(j)^2;
Fijkl = r(i) * r(j) * g(deltaZ, ri2+rj2+deltaZ^2, -2 * r(i) * r(j));
power = 1 + i + j + k + l;
F_Z = F_Z + ((-1)^power) * Fijkl;
end
end
end
end

F_Z = ((J1 * J2) / (2 * u0)) * F_Z;

%% Define the function computeG
function result = computeG(a, b, c)
A = (a^2 – b) / c * pi + sqrt(c^2 – (a^2 – b)^2) / c *(log((-16 * c^2) / ((c^2 – (a^2 – b)^2)^1.5)) + log(c^2 / ((c^2 – (a^2 – b)^2)^1.5)));

S = computeS(a, b, c);
result = A + S;
end

%% Define the function computeS
function S = computeS(a, b, c)
% Define constants
epsilon = c / (c – b);
beta = (b + c) / (b – c);
mu = c / (b + c);

% Calculate terms for S
term1 = (2 * 1i * a) / (c * sqrt(b + c)) * …
((b + c) * ellipticE(asin(sqrt(beta)), beta^(-1)) – c * ellipticF(asin(sqrt(beta)), beta^(-1)));
term2 = (2 * a) / (c * sqrt(b – c) * sqrt(epsilon)) * …
(c / sqrt(mu) * ellipticE1(1 / beta) – c * sqrt(mu) * ellipticK(1 / beta));
term3 = sqrt(epsilon * (1 / beta)) * …
((b – a^2) * ellipticK(2 * mu) + (a^2 – b + c) * ellipticPi(2 * c / (c + b – a^2), 2 * mu));

% Sum all terms
S = term1 + term2 + term3;
end

% Elliptic integral functions using symbolic math toolbox
function val = ellipticK(m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticF(phi, m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE(phi, m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE1(m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticPi(n, m)
syms theta;
val = double(int(1 / (sqrt(1 – n * sin(theta)^2) * sqrt(1 – m * sin(theta)^2)), theta, 0, pi/2));
end Hello, i wrote a code and it works while running the script. but when i use it in an app this error shows up Attempt to add "theta" to a static workspace. can somebody help me out. thanks
The code:
%% Constants and parameters
J1 = 1; % Polarization of outer magnet
J2 = 1; % Polarization of inner magnet
u0 = pi*4e-7; % Magnetic constant

%% Position vectors, define appropriately
r = [0.25, 0.3, 0.20 , 0.24]; % radius of magnets (outer to inner)
z = [0.05, 0.15, 0.08, 0.18]; % z cordinate of magnets (outer to inner)

%% main function g
g = @(a, b, c) computeG(a, b, c);

% Initialize F_Z
F_Z = 0;

% Compute F_Z based on the given formula
for i = 1:2
for k = 1:2
for j = 3:4
for l = 3:4
deltaZ = z(k) – z(l);
ri2 = r(i)^2;
rj2 = r(j)^2;
Fijkl = r(i) * r(j) * g(deltaZ, ri2+rj2+deltaZ^2, -2 * r(i) * r(j));
power = 1 + i + j + k + l;
F_Z = F_Z + ((-1)^power) * Fijkl;
end
end
end
end

F_Z = ((J1 * J2) / (2 * u0)) * F_Z;

%% Define the function computeG
function result = computeG(a, b, c)
A = (a^2 – b) / c * pi + sqrt(c^2 – (a^2 – b)^2) / c *(log((-16 * c^2) / ((c^2 – (a^2 – b)^2)^1.5)) + log(c^2 / ((c^2 – (a^2 – b)^2)^1.5)));

S = computeS(a, b, c);
result = A + S;
end

%% Define the function computeS
function S = computeS(a, b, c)
% Define constants
epsilon = c / (c – b);
beta = (b + c) / (b – c);
mu = c / (b + c);

% Calculate terms for S
term1 = (2 * 1i * a) / (c * sqrt(b + c)) * …
((b + c) * ellipticE(asin(sqrt(beta)), beta^(-1)) – c * ellipticF(asin(sqrt(beta)), beta^(-1)));
term2 = (2 * a) / (c * sqrt(b – c) * sqrt(epsilon)) * …
(c / sqrt(mu) * ellipticE1(1 / beta) – c * sqrt(mu) * ellipticK(1 / beta));
term3 = sqrt(epsilon * (1 / beta)) * …
((b – a^2) * ellipticK(2 * mu) + (a^2 – b + c) * ellipticPi(2 * c / (c + b – a^2), 2 * mu));

% Sum all terms
S = term1 + term2 + term3;
end

% Elliptic integral functions using symbolic math toolbox
function val = ellipticK(m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticF(phi, m)
syms theta;
val = double(int(1 / sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE(phi, m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, phi));
end

function val = ellipticE1(m)
syms theta;
val = double(int(sqrt(1 – m * sin(theta)^2), theta, 0, pi/2));
end

function val = ellipticPi(n, m)
syms theta;
val = double(int(1 / (sqrt(1 – n * sin(theta)^2) * sqrt(1 – m * sin(theta)^2)), theta, 0, pi/2));
end appdesigner, app designer MATLAB Answers — New Questions

​

Dear Matlab communities:
I am running a spm script for analyizing neuroimaging data, the first script here (ModelSpecificationBinaryMask.m) is to loop another job file ModelSpecificationBinaryMask_job.m over the two subjects while assigning the regressor files that correspond to each of the runs for one subject.
However, I am seeing the follwing errors:
Brace indexing is not supported for variables of this type.

Error in spm_jobman>canonicalise_jobs (line 415)
comp(i) = comp(i) && any(strcmp(fieldnames(job{i}{j}), …

Error in spm_jobman (line 152)
mljob = canonicalise_jobs(jobs);

Error in ModelSpecificationBinaryMask (line 50)
spm_jobman(‘run’, jobs, inputs);

ModelSpecificationBinaryMask.m

clear
close all
clc

% Created by GB on 9/9/19.
% Edited by LC on 8/19/24.

for sub = [101,102]
jobfile = {‘/Volumes/PUMPKIN/scripts/GabbyScripts/ModelSpecificationBinaryMaskTHRESHOFF_job.m’};
nrun = 1; % Assuming nrun should be 1 since we are processing one subject at a time
ncue = 8; % 8 runs for cue task
jobs = repmat(jobfile, 1, nrun);
inputs = cell(25, 1); % Initialize cell array for inputs (25 because you have 3 inputs per run and 8 runs)

% Create a homepath, a base location of all the data
homepath = ‘/Volumes/PUMPKIN/Preprocessed/groupA/Volumes’;
evpath = ‘/Volumes/PUMPKIN/Regressors’;

for n = 1:nrun
sub_path = fullfile(‘/Volumes/PUMPKIN/halfpipeXspm/sub-‘, num2str(sub(n)), ‘/1stLevel’);
%mkdir(sub_path);
inputs{1, n} = {sub_path}; % fMRI model specification: Directory – cfg_files

% Loop through each run for the subject
for run = 1:ncue
run_dir = fullfile(homepath, strcat(‘sub_’, num2str(sub(n))), ‘-‘, num2str(run));

% List all ‘vol_*.nii’ files in the current folder
files = dir(fullfile(run_dir, ‘vol_*.nii’));

if ~isempty(files)
% Now assign images
inputs{2+(run-1)*3, n} = {fullfile(run_dir, {files.name})}; % fMRI model specification: Scans – cfg_files

% Insert multiple condition files (i.e., evs)
ev_file = dir(fullfile(evpath, strcat(‘sub’, num2str(sub(n)), ‘run’, num2str(run), ‘_exev_CS_faceCue.mat’)));
inputs{3+(run-1)*3, n} = {fullfile(evpath, ev_file.name)};

% Insert multiple regressors (6 rigid body motion parameters)
rp_file = dir(fullfile(run_dir, ‘rp_af*.txt’));
inputs{4+(run-1)*3, n} = {fullfile(run_dir, rp_file.name)};
end

clear files rp_file
end

clear currfold
end

% Run the job using SPM
spm_jobman(‘run’, jobs, inputs);
end

% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %

% ModelSpecificationBinaryMask_job.m

%———————————————————————–
% Job saved on 17-Jun-2016 14:21:03 by cfg_util (rev $Rev: 6134 $)
% spm SPM – SPM12 (6225)
% cfg_basicio BasicIO – Unknown
%———————————————————————–
disp(‘Script is running’);

matlabbatch(1).spm.stats.fmri_spec.dir = {‘/Volumes/PUMPKIN/halfpipeXspm/sub-*/1stLevel’};
matlabbatch(1).spm.stats.fmri_spec.timing.units = ‘secs’;
matlabbatch(1).spm.stats.fmri_spec.timing.RT = 2;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t = 32;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t0 = 1;
matlabbatch(1).spm.stats.fmri_spec.sess(1).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(2).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(3).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(4).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(5).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(6).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(7).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(8).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.fact = struct(‘name’, {}, ‘levels’, {});
matlabbatch(1).spm.stats.fmri_spec.bases.hrf.derivs = [0 0];
matlabbatch(1).spm.stats.fmri_spec.volt = 1;
matlabbatch(1).spm.stats.fmri_spec.global = ‘None’;
matlabbatch(1).spm.stats.fmri_spec.mthresh = 0.0; %no voxels are thresholded so all voxels are being used%
matlabbatch(1).spm.stats.fmri_spec.mask = {‘/Volumes/PUMPKIN/scripts/LancyScripts/peripheral/C1-101-117/binarygreymattermask.nii’};
matlabbatch(1).spm.stats.fmri_spec.cvi = ‘AR(1)’;

disp(‘Script completed’);Dear Matlab communities:
I am running a spm script for analyizing neuroimaging data, the first script here (ModelSpecificationBinaryMask.m) is to loop another job file ModelSpecificationBinaryMask_job.m over the two subjects while assigning the regressor files that correspond to each of the runs for one subject.
However, I am seeing the follwing errors:
Brace indexing is not supported for variables of this type.

Error in spm_jobman>canonicalise_jobs (line 415)
comp(i) = comp(i) && any(strcmp(fieldnames(job{i}{j}), …

Error in spm_jobman (line 152)
mljob = canonicalise_jobs(jobs);

Error in ModelSpecificationBinaryMask (line 50)
spm_jobman(‘run’, jobs, inputs);

ModelSpecificationBinaryMask.m

clear
close all
clc

% Created by GB on 9/9/19.
% Edited by LC on 8/19/24.

for sub = [101,102]
jobfile = {‘/Volumes/PUMPKIN/scripts/GabbyScripts/ModelSpecificationBinaryMaskTHRESHOFF_job.m’};
nrun = 1; % Assuming nrun should be 1 since we are processing one subject at a time
ncue = 8; % 8 runs for cue task
jobs = repmat(jobfile, 1, nrun);
inputs = cell(25, 1); % Initialize cell array for inputs (25 because you have 3 inputs per run and 8 runs)

% Create a homepath, a base location of all the data
homepath = ‘/Volumes/PUMPKIN/Preprocessed/groupA/Volumes’;
evpath = ‘/Volumes/PUMPKIN/Regressors’;

for n = 1:nrun
sub_path = fullfile(‘/Volumes/PUMPKIN/halfpipeXspm/sub-‘, num2str(sub(n)), ‘/1stLevel’);
%mkdir(sub_path);
inputs{1, n} = {sub_path}; % fMRI model specification: Directory – cfg_files

% Loop through each run for the subject
for run = 1:ncue
run_dir = fullfile(homepath, strcat(‘sub_’, num2str(sub(n))), ‘-‘, num2str(run));

% List all ‘vol_*.nii’ files in the current folder
files = dir(fullfile(run_dir, ‘vol_*.nii’));

if ~isempty(files)
% Now assign images
inputs{2+(run-1)*3, n} = {fullfile(run_dir, {files.name})}; % fMRI model specification: Scans – cfg_files

% Insert multiple condition files (i.e., evs)
ev_file = dir(fullfile(evpath, strcat(‘sub’, num2str(sub(n)), ‘run’, num2str(run), ‘_exev_CS_faceCue.mat’)));
inputs{3+(run-1)*3, n} = {fullfile(evpath, ev_file.name)};

% Insert multiple regressors (6 rigid body motion parameters)
rp_file = dir(fullfile(run_dir, ‘rp_af*.txt’));
inputs{4+(run-1)*3, n} = {fullfile(run_dir, rp_file.name)};
end

clear files rp_file
end

clear currfold
end

% Run the job using SPM
spm_jobman(‘run’, jobs, inputs);
end

% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %

% ModelSpecificationBinaryMask_job.m

%———————————————————————–
% Job saved on 17-Jun-2016 14:21:03 by cfg_util (rev $Rev: 6134 $)
% spm SPM – SPM12 (6225)
% cfg_basicio BasicIO – Unknown
%———————————————————————–
disp(‘Script is running’);

matlabbatch(1).spm.stats.fmri_spec.dir = {‘/Volumes/PUMPKIN/halfpipeXspm/sub-*/1stLevel’};
matlabbatch(1).spm.stats.fmri_spec.timing.units = ‘secs’;
matlabbatch(1).spm.stats.fmri_spec.timing.RT = 2;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t = 32;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t0 = 1;
matlabbatch(1).spm.stats.fmri_spec.sess(1).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(2).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(3).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(4).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(5).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(6).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(7).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(8).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.fact = struct(‘name’, {}, ‘levels’, {});
matlabbatch(1).spm.stats.fmri_spec.bases.hrf.derivs = [0 0];
matlabbatch(1).spm.stats.fmri_spec.volt = 1;
matlabbatch(1).spm.stats.fmri_spec.global = ‘None’;
matlabbatch(1).spm.stats.fmri_spec.mthresh = 0.0; %no voxels are thresholded so all voxels are being used%
matlabbatch(1).spm.stats.fmri_spec.mask = {‘/Volumes/PUMPKIN/scripts/LancyScripts/peripheral/C1-101-117/binarygreymattermask.nii’};
matlabbatch(1).spm.stats.fmri_spec.cvi = ‘AR(1)’;

disp(‘Script completed’); Dear Matlab communities:
I am running a spm script for analyizing neuroimaging data, the first script here (ModelSpecificationBinaryMask.m) is to loop another job file ModelSpecificationBinaryMask_job.m over the two subjects while assigning the regressor files that correspond to each of the runs for one subject.
However, I am seeing the follwing errors:
Brace indexing is not supported for variables of this type.

Error in spm_jobman>canonicalise_jobs (line 415)
comp(i) = comp(i) && any(strcmp(fieldnames(job{i}{j}), …

Error in spm_jobman (line 152)
mljob = canonicalise_jobs(jobs);

Error in ModelSpecificationBinaryMask (line 50)
spm_jobman(‘run’, jobs, inputs);

ModelSpecificationBinaryMask.m

clear
close all
clc

% Created by GB on 9/9/19.
% Edited by LC on 8/19/24.

for sub = [101,102]
jobfile = {‘/Volumes/PUMPKIN/scripts/GabbyScripts/ModelSpecificationBinaryMaskTHRESHOFF_job.m’};
nrun = 1; % Assuming nrun should be 1 since we are processing one subject at a time
ncue = 8; % 8 runs for cue task
jobs = repmat(jobfile, 1, nrun);
inputs = cell(25, 1); % Initialize cell array for inputs (25 because you have 3 inputs per run and 8 runs)

% Create a homepath, a base location of all the data
homepath = ‘/Volumes/PUMPKIN/Preprocessed/groupA/Volumes’;
evpath = ‘/Volumes/PUMPKIN/Regressors’;

for n = 1:nrun
sub_path = fullfile(‘/Volumes/PUMPKIN/halfpipeXspm/sub-‘, num2str(sub(n)), ‘/1stLevel’);
%mkdir(sub_path);
inputs{1, n} = {sub_path}; % fMRI model specification: Directory – cfg_files

% Loop through each run for the subject
for run = 1:ncue
run_dir = fullfile(homepath, strcat(‘sub_’, num2str(sub(n))), ‘-‘, num2str(run));

% List all ‘vol_*.nii’ files in the current folder
files = dir(fullfile(run_dir, ‘vol_*.nii’));

if ~isempty(files)
% Now assign images
inputs{2+(run-1)*3, n} = {fullfile(run_dir, {files.name})}; % fMRI model specification: Scans – cfg_files

% Insert multiple condition files (i.e., evs)
ev_file = dir(fullfile(evpath, strcat(‘sub’, num2str(sub(n)), ‘run’, num2str(run), ‘_exev_CS_faceCue.mat’)));
inputs{3+(run-1)*3, n} = {fullfile(evpath, ev_file.name)};

% Insert multiple regressors (6 rigid body motion parameters)
rp_file = dir(fullfile(run_dir, ‘rp_af*.txt’));
inputs{4+(run-1)*3, n} = {fullfile(run_dir, rp_file.name)};
end

clear files rp_file
end

clear currfold
end

% Run the job using SPM
spm_jobman(‘run’, jobs, inputs);
end

% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % %

% ModelSpecificationBinaryMask_job.m

%———————————————————————–
% Job saved on 17-Jun-2016 14:21:03 by cfg_util (rev $Rev: 6134 $)
% spm SPM – SPM12 (6225)
% cfg_basicio BasicIO – Unknown
%———————————————————————–
disp(‘Script is running’);

matlabbatch(1).spm.stats.fmri_spec.dir = {‘/Volumes/PUMPKIN/halfpipeXspm/sub-*/1stLevel’};
matlabbatch(1).spm.stats.fmri_spec.timing.units = ‘secs’;
matlabbatch(1).spm.stats.fmri_spec.timing.RT = 2;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t = 32;
matlabbatch(1).spm.stats.fmri_spec.timing.fmri_t0 = 1;
matlabbatch(1).spm.stats.fmri_spec.sess(1).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(1).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(1).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(2).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(2).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(2).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(3).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(3).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(3).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(4).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(4).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(4).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(5).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(5).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(5).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(6).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(6).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(6).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(7).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi ='<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(7).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(7).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.sess(8).scans = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).cond = struct(‘name’, {}, ‘onset’, {}, ‘duration’, {}, ‘tmod’, {}, ‘pmod’, {}, ‘orth’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).regress = struct(‘name’, {}, ‘val’, {});
matlabbatch(1).spm.stats.fmri_spec.sess(8).multi_reg = ‘<UNDEFINED>’;
matlabbatch(1).spm.stats.fmri_spec.sess(8).hpf = 128;
matlabbatch(1).spm.stats.fmri_spec.fact = struct(‘name’, {}, ‘levels’, {});
matlabbatch(1).spm.stats.fmri_spec.bases.hrf.derivs = [0 0];
matlabbatch(1).spm.stats.fmri_spec.volt = 1;
matlabbatch(1).spm.stats.fmri_spec.global = ‘None’;
matlabbatch(1).spm.stats.fmri_spec.mthresh = 0.0; %no voxels are thresholded so all voxels are being used%
matlabbatch(1).spm.stats.fmri_spec.mask = {‘/Volumes/PUMPKIN/scripts/LancyScripts/peripheral/C1-101-117/binarygreymattermask.nii’};
matlabbatch(1).spm.stats.fmri_spec.cvi = ‘AR(1)’;

disp(‘Script completed’); spm, image processing, error MATLAB Answers — New Questions

​

I’m currently trying to use a laser alongside a VariSpec Liquid Crystal Tunable Filter (LCTF) for fluorescent imaging microscopy. Long story short, the software that goes with the microscope is Micro-Manager and the software for the LCTF is VSGUI (or VariSpecGUI).

I want to write code that will effectively carry out a sequence of events on the VSGUI and MM software for me using MATLAB, automatically. From what I’ve read, this is fairly straightforward to do for the Micro-Manager software as there’s some pre-written .m files / script that can be used for the operation of MM and if push comes to shove there is also the Microscopy Toolbox. However, with the VariSpec VSGUI software, I’m struggling to find any files relating to it. I know they exist because the manual for the LCTF states "CRi provides a set of MATLAB files to control VariSpec filters. There is a core support .DLL file and a series of .m files"

So great, the files exist and I don’t need to start from scratch, however, this CRi company does not seem to exist (think it might have been bought over?) and there are no websites that I can find with the files.

Long shot, but does anyone have any of the files that I’m talking about to operate the VariSpec filters?
I don’t think I’m fully capable of writing out a full script from scratch.I’m currently trying to use a laser alongside a VariSpec Liquid Crystal Tunable Filter (LCTF) for fluorescent imaging microscopy. Long story short, the software that goes with the microscope is Micro-Manager and the software for the LCTF is VSGUI (or VariSpecGUI).

I want to write code that will effectively carry out a sequence of events on the VSGUI and MM software for me using MATLAB, automatically. From what I’ve read, this is fairly straightforward to do for the Micro-Manager software as there’s some pre-written .m files / script that can be used for the operation of MM and if push comes to shove there is also the Microscopy Toolbox. However, with the VariSpec VSGUI software, I’m struggling to find any files relating to it. I know they exist because the manual for the LCTF states "CRi provides a set of MATLAB files to control VariSpec filters. There is a core support .DLL file and a series of .m files"

So great, the files exist and I don’t need to start from scratch, however, this CRi company does not seem to exist (think it might have been bought over?) and there are no websites that I can find with the files.

Long shot, but does anyone have any of the files that I’m talking about to operate the VariSpec filters?
I don’t think I’m fully capable of writing out a full script from scratch. I’m currently trying to use a laser alongside a VariSpec Liquid Crystal Tunable Filter (LCTF) for fluorescent imaging microscopy. Long story short, the software that goes with the microscope is Micro-Manager and the software for the LCTF is VSGUI (or VariSpecGUI).

I want to write code that will effectively carry out a sequence of events on the VSGUI and MM software for me using MATLAB, automatically. From what I’ve read, this is fairly straightforward to do for the Micro-Manager software as there’s some pre-written .m files / script that can be used for the operation of MM and if push comes to shove there is also the Microscopy Toolbox. However, with the VariSpec VSGUI software, I’m struggling to find any files relating to it. I know they exist because the manual for the LCTF states "CRi provides a set of MATLAB files to control VariSpec filters. There is a core support .DLL file and a series of .m files"

So great, the files exist and I don’t need to start from scratch, however, this CRi company does not seem to exist (think it might have been bought over?) and there are no websites that I can find with the files.

Long shot, but does anyone have any of the files that I’m talking about to operate the VariSpec filters?
I don’t think I’m fully capable of writing out a full script from scratch. varispec, .m files, vsgui, lctf, software MATLAB Answers — New Questions

​

dear collegaes, please let me ask your help to find a solution for my data analisys.

I have a P0300.txt file that contains a long strip.

here is a portion of P0300.txt:
59 04 03 01 00 65 01 3E 51 09 00 00 51 1C 00 E1
I need to find sets of data, sets could be 2 or 4 digits.
lets say I need to find 01 3E
DATA = regexp(fileread(‘P0300.txt’), ‘r?n’, ‘split’)’;
>> A = string(DATA);
>> B = strfind(A,’01 3E’);
B gives me the position where 01 3E is, in this case B = 19
after this I need to extract the 6 digits on the rigth 51 09 00 <– this values can change depend on test conditions

Any idea on how can I do that?
your feedback will be highly appreciateddear collegaes, please let me ask your help to find a solution for my data analisys.

I have a P0300.txt file that contains a long strip.

here is a portion of P0300.txt:
59 04 03 01 00 65 01 3E 51 09 00 00 51 1C 00 E1
I need to find sets of data, sets could be 2 or 4 digits.
lets say I need to find 01 3E
DATA = regexp(fileread(‘P0300.txt’), ‘r?n’, ‘split’)’;
>> A = string(DATA);
>> B = strfind(A,’01 3E’);
B gives me the position where 01 3E is, in this case B = 19
after this I need to extract the 6 digits on the rigth 51 09 00 <– this values can change depend on test conditions

Any idea on how can I do that?
your feedback will be highly appreciated dear collegaes, please let me ask your help to find a solution for my data analisys.

I have a P0300.txt file that contains a long strip.

here is a portion of P0300.txt:
59 04 03 01 00 65 01 3E 51 09 00 00 51 1C 00 E1
I need to find sets of data, sets could be 2 or 4 digits.
lets say I need to find 01 3E
DATA = regexp(fileread(‘P0300.txt’), ‘r?n’, ‘split’)’;
>> A = string(DATA);
>> B = strfind(A,’01 3E’);
B gives me the position where 01 3E is, in this case B = 19
after this I need to extract the 6 digits on the rigth 51 09 00 <– this values can change depend on test conditions

Any idea on how can I do that?
your feedback will be highly appreciated strings, text, data MATLAB Answers — New Questions

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Hi, all!
I desperately need help. As the title says, I generated multiple surrogate models on Regression Learner; now I need to use these models in a gradient-based optimization process.
I’ve tried Export>Generate Function & Export>Export Model / Export Model For Deployment. None of them work, I don’t understand how anything works. If I can convert the surrogate models into matlab functions, these matlab functions are supposed to go into the ‘select problem data>Objective function’? How do I define lower/upper bounds with just one value for each when the surrogate models have multiple inputs?? How do I define non-linear constraints??
I put an image just to explain my problem better.
Thank you….Hi, all!
I desperately need help. As the title says, I generated multiple surrogate models on Regression Learner; now I need to use these models in a gradient-based optimization process.
I’ve tried Export>Generate Function & Export>Export Model / Export Model For Deployment. None of them work, I don’t understand how anything works. If I can convert the surrogate models into matlab functions, these matlab functions are supposed to go into the ‘select problem data>Objective function’? How do I define lower/upper bounds with just one value for each when the surrogate models have multiple inputs?? How do I define non-linear constraints??
I put an image just to explain my problem better.
Thank you…. Hi, all!
I desperately need help. As the title says, I generated multiple surrogate models on Regression Learner; now I need to use these models in a gradient-based optimization process.
I’ve tried Export>Generate Function & Export>Export Model / Export Model For Deployment. None of them work, I don’t understand how anything works. If I can convert the surrogate models into matlab functions, these matlab functions are supposed to go into the ‘select problem data>Objective function’? How do I define lower/upper bounds with just one value for each when the surrogate models have multiple inputs?? How do I define non-linear constraints??
I put an image just to explain my problem better.
Thank you…. optimization MATLAB Answers — New Questions

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I’m trying to build code via rtwbuild and am being met with the error Selected subsystem is linked to a library with unsaved changes. Please save the library.

I’ve been manually looking through the model and can’t see anything with unsaved changes or broken links. And there seems to be no easy way to find the library with unsaved changes in question. Am I missing something or is there a way to find these libraries? I’m working with a very big model.I’m trying to build code via rtwbuild and am being met with the error Selected subsystem is linked to a library with unsaved changes. Please save the library.

I’ve been manually looking through the model and can’t see anything with unsaved changes or broken links. And there seems to be no easy way to find the library with unsaved changes in question. Am I missing something or is there a way to find these libraries? I’m working with a very big model. I’m trying to build code via rtwbuild and am being met with the error Selected subsystem is linked to a library with unsaved changes. Please save the library.

I’ve been manually looking through the model and can’t see anything with unsaved changes or broken links. And there seems to be no easy way to find the library with unsaved changes in question. Am I missing something or is there a way to find these libraries? I’m working with a very big model. simulink MATLAB Answers — New Questions

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Dear experts –
I want to create a continuous 1D surface heatmap for every data point, with Distance (ft) in the X-direction and Temperature in the Y-direction. I have no idea how to do it. Please, can someone helps me with that.
Here I attached a sample of my data.
Thank you!Dear experts –
I want to create a continuous 1D surface heatmap for every data point, with Distance (ft) in the X-direction and Temperature in the Y-direction. I have no idea how to do it. Please, can someone helps me with that.
Here I attached a sample of my data.
Thank you! Dear experts –
I want to create a continuous 1D surface heatmap for every data point, with Distance (ft) in the X-direction and Temperature in the Y-direction. I have no idea how to do it. Please, can someone helps me with that.
Here I attached a sample of my data.
Thank you! heatmap MATLAB Answers — New Questions

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