Hello everyone
I have the following dataset: https://www.dropbox.com/scl/fo/3dthvtj2ex9gmhsu3lkrq/AJt2KVYls3YM89v5SRmSEWk?rlkey=r63d0ej2sv7ku8i4ardla5pvi&dl=0, which gives rise to the data on the panel mz of the figure below:

My idea is to extract the (a,b) set of points that define the whole right side of the whitish curve. Once that it is done, I will need to extract, for each of the points of this curve, the normal line along the track (that it is, the (a,b) coordinates together with the corresponding values of the mz values).
Any ideas on how to do this efficiently?

Additional information (September 3, 2024)

When I talk about the normal to the tangent at each point of the curve mz, I am thinking about something like this:

where the green X symbol corresponds to a certain point of the curve, the black line to the tangent to the curve at that specific (x,y) point, and the dashed yellow line refers to the normal to the tangent line that (x,y) point. I would be interested in extracting the mz value all along that normal line inside the boundaries of the sample. So I would say that some grid data process would be important to make if not too many points actually exist in the given data set.Hello everyone
I have the following dataset: https://www.dropbox.com/scl/fo/3dthvtj2ex9gmhsu3lkrq/AJt2KVYls3YM89v5SRmSEWk?rlkey=r63d0ej2sv7ku8i4ardla5pvi&dl=0, which gives rise to the data on the panel mz of the figure below:

My idea is to extract the (a,b) set of points that define the whole right side of the whitish curve. Once that it is done, I will need to extract, for each of the points of this curve, the normal line along the track (that it is, the (a,b) coordinates together with the corresponding values of the mz values).
Any ideas on how to do this efficiently?

Additional information (September 3, 2024)

When I talk about the normal to the tangent at each point of the curve mz, I am thinking about something like this:

where the green X symbol corresponds to a certain point of the curve, the black line to the tangent to the curve at that specific (x,y) point, and the dashed yellow line refers to the normal to the tangent line that (x,y) point. I would be interested in extracting the mz value all along that normal line inside the boundaries of the sample. So I would say that some grid data process would be important to make if not too many points actually exist in the given data set. Hello everyone
I have the following dataset: https://www.dropbox.com/scl/fo/3dthvtj2ex9gmhsu3lkrq/AJt2KVYls3YM89v5SRmSEWk?rlkey=r63d0ej2sv7ku8i4ardla5pvi&dl=0, which gives rise to the data on the panel mz of the figure below:

My idea is to extract the (a,b) set of points that define the whole right side of the whitish curve. Once that it is done, I will need to extract, for each of the points of this curve, the normal line along the track (that it is, the (a,b) coordinates together with the corresponding values of the mz values).
Any ideas on how to do this efficiently?

Additional information (September 3, 2024)

When I talk about the normal to the tangent at each point of the curve mz, I am thinking about something like this:

where the green X symbol corresponds to a certain point of the curve, the black line to the tangent to the curve at that specific (x,y) point, and the dashed yellow line refers to the normal to the tangent line that (x,y) point. I would be interested in extracting the mz value all along that normal line inside the boundaries of the sample. So I would say that some grid data process would be important to make if not too many points actually exist in the given data set. data pattern extraction, normal lines to a curve MATLAB Answers — New Questions

​