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fluorescence-image-sequence-analysis's Introduction

Fluorescence Image Analysis

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A program for calculating the average brightness of beads/samples from a set of image. It also calculates histogram of the brightness distribution.

Features of the avarage brightness analysis code

  • Can handle a single image or a series of tiff images located in a folder
  • Can work with 16bit tiff images
  • Adaptive thresholding is used for masking
  • Custom 16 bit adaptive thresholding algorithm

Library requirements

  • Opencv
  • Matplotlib
  • Numpy

Sample Output

Bead detection and fluorescence analysis:

The following figure shows detection of individual beads in a frame.

Acknowledgement

This work was developed at the Hesselink research lab, Stanford University. The work was partially supported by the National Institute of Health (NIH) Grant R01GM138716 and 5R21HG009758.

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