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Automated Cell Counting of OCT Scans

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Mohammad Mehdi
Mohammad Mehdi el 16 de Nov. de 2023
Editada: Mohammad Mehdi el 17 de Nov. de 2023
Greetings eveyone,
I want to measure the cell count on eye scans obtained via OCT scan, below is my own eye scan and you can see the retinal cells as a white trianglur particles in periphery.
Can somebody please help me and tell me wether it is possible to have a code so I can measure and extract these cells from retinal scan or not?
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Image Analyst
Image Analyst el 17 de Nov. de 2023
I don't see any white triangles in the periphery of the image or anywhere else. I see snake-like white streaks and smaller irregularly-shaped white blobs. Please outline in red the triangles that you want to segment out.
Mohammad Mehdi
Mohammad Mehdi el 17 de Nov. de 2023
You are right, I want to measute those snake like and irregular shaped white particles.I have outlines cells in square and circle (1 in square and 2 in circle). my aim is to extract those cells from background and then count them (red cells in figure 2).

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Respuestas (1)

Pratyush
Pratyush el 17 de Nov. de 2023
Hi Mohammad,
I understand that you want to measure the cell count on eye scans.
It is possible to write a MATLAB code to measure and extract these cells from an OCT retinal scan. The MATLAB Image Processing Toolbox provides a comprehensive set of reference-standard algorithms and workflow apps for image processing.
Here is a general idea of how you might approach this:
  • Use the "imread" function to read the image into MATLAB.
  • Preprocess the image which may involve converting the image to grayscale using the "rgd2gray" function, or applying a median filter to reduce noise.
  • You can use edge detection functions such as "edge" or "imbinarize" to segment the image. This will help to isolate the cells.
  • After segmentation, you can use the "bwconncomp" function to find connected components (which should correspond to cells). The "regionprops" function can provide useful measurements for these components.
  • If the cells are all roughly the same size, you can filter out noise by only counting components of a certain size.
Hope this helps.
  1 comentario
Mohammad Mehdi
Mohammad Mehdi el 17 de Nov. de 2023
Editada: Mohammad Mehdi el 17 de Nov. de 2023
Thank you very much for prompt responce, I am pretty new with MATLAB, can I ask you for your help if I faced any problem during counting process? Also I now the range of cell size, but when I want to use thresholding, the process does not include all the cells included in the picture and some of them excluded in the process.
Thanks,
Mohammad

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