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Real-time detection and classification of cells in a fluid flow

Title
Real-time detection and classification of cells in a fluid flow
Authors
LEE, KEON DOCHUNG, WAN KYUN
Date Issued
25-Jun-2019
Publisher
Korea Robotics Society (KROS)
Abstract
Flow cytometry is a method of measuring the intensity of the fluorescence produced by labeled cells. However, the fluorescence intensity does not provide any spatial information and the equipment is expensive. The present study examined a real-time system for detecting and classifying cells in a fluid flow that was based on a low-cost CCD camera. To investigate the feasibility of the system, processing time measurements and image classification were conducted.
URI
http://oasis.postech.ac.kr/handle/2014.oak/99518
Article Type
Conference
Citation
The 16th International Conference on Ubiquitous Robots, 2019-06-25
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 CHUNG, WAN KYUN
Dept of Mechanical Enginrg
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