An automated cell detection algorithm for lensfree shadow imaging platform

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

doi:10.1109/C2SPCA.2013.6749378

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 conference › Paper › peer-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 language	English
DOIs	https://doi.org/10.1109/C2SPCA.2013.6749378
Publication status	Published - 2013
Event	2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013 - Bangalore, India Duration: 2013 Oct 10 → 2013 Oct 11

Other

Other	2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013
Country/Territory	India
City	Bangalore
Period	13/10/10 → 13/10/11

Keywords

Adaptive threshold
Cytometry
Lens-free imaging

ASJC Scopus subject areas

Computer Science Applications
Signal Processing

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10.1109/C2SPCA.2013.6749378

Cite this

An automated cell detection algorithm for lensfree shadow imaging platform. / Roy, Mohendra; Lee, Junhee; Jin, Geonsoo et al.
2013. Paper presented at 2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013, Bangalore, India.

Research output: Contribution to conference › Paper › peer-review

Roy, M, Lee, J, Jin, G, Seo, S & Nam, MH 2013, 'An automated cell detection algorithm for lensfree shadow imaging platform', Paper presented at 2013 IEEE International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications, IEEE-C2SPCA 2013, Bangalore, India, 13/10/10 - 13/10/11. https://doi.org/10.1109/C2SPCA.2013.6749378

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doi = "10.1109/C2SPCA.2013.6749378",

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AU - Lee, Junhee

AU - Jin, Geonsoo

AU - Seo, Sungkyu

AU - Nam, Myung Hyun

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

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KW - Cytometry

KW - Lens-free imaging

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Y2 - 10 October 2013 through 11 October 2013

ER -

An automated cell detection algorithm for lensfree shadow imaging platform

Abstract

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Keywords

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