An automated cell detection algorithm for lensfree shadow imaging platform

Mohendra Roy, Junhee Lee, Geonsoo Jin, Sungkyu Seo, Myung Hyun Nam

Research output: Contribution to conferencePaperpeer-review

Abstract

Here we propose an automated cell detection and counting algorithm for lens-free shadow imaging platform. This approach is based on the adaptive thresholding algorithm. The spatial variation of the threshold values is determined by the moving window technique. The shadow images of the Red Blood Cells(RBCs) are well detected and specified by the algorithm. The cell counting results from the algorithm for different concentration of blood cells are verified with the established cell counting results.

Original languageEnglish
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013 - Bangalore, India
Duration: 2013 Oct 102013 Oct 11

Other

Other2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013
CountryIndia
CityBangalore
Period13/10/1013/10/11

Keywords

  • Adaptive threshold
  • Cytometry
  • Lens-free imaging

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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