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A robust cell counting approach based on a normalized 2D cross-correlation scheme for in-line holographic images
- A robust cell counting approach based on a normalized 2D cross-correlation scheme for in-line holographic images
- Ra, Ho Kyeong; Kim, Hyung Seok; Yoon, Hee Jung; Son, Sang Hyuk; Park, Tae Joon; Moon, Sang Jun
- DGIST Authors
- Son, Sang Hyuk; Park, Tae Joon; Moon, Sang Jun
- Issue Date
- Lab on a Chip - Miniaturisation for Chemistry and Biology, 13(17), 3398-3409
- Article Type
- Algorithm; Animal Cell; Animals; Blood Cells; Cell Count; Computer Program; Controlled Study; Disease Course; Holography; Human; Human Tissue; Humans; Image Processing; Imaging; Mice; Micro-Fluidic Analytical Techniques; Molecular Recognition; Mouse; NIH 3T3 Cells; Non-Human; Periodicity; Priority Journal
- To achieve the important aims of identifying and marking disease progression, cell counting is crucial for various biological and medical procedures, especially in a Point-Of-Care (POC) setting. In contrast to the conventional manual method of counting cells, a software-based approach provides improved reliability, faster speeds, and greater ease of use. We present a novel software-based approach to count in-line holographic cell images using the calculation of a normalized 2D cross-correlation. This enables fast, computationally-efficient pattern matching between a set of cell library images and the test image. Our evaluation results show that the proposed system is capable of quickly counting cells whilst reliably and accurately following human counting capability. Our novel approach is 5760 times faster than manual counting and provides at least 68% improved accuracy compared to other image processing algorithms. © The Royal Society of Chemistry 2013.
- Royal Society of Chemistry
- Related Researcher
Son, Sang Hyuk
RTCPS(Real-Time Cyber-Physical Systems) Lab
Real-time system; Wireless sensor network; Cyber-physical system; Data and event service; Information security; 실시간 임베디드 시스템
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