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A robust cell counting approach based on a normalized 2D cross-correlation scheme for in-line holographic images

Title
A robust cell counting approach based on a normalized 2D cross-correlation scheme for in-line holographic images
Authors
Ra, H.-K.[Ra, Ho Kyeong]Kim, H.[Kim, Hyung Seok]Yoon, H.J.[Yoon, Hee Jung]Son, S.H.[Son, Sang Hyuk]Park, T.[Park, Tae Joon]Moon, S.[Moon, Sang Jun]
DGIST Authors
Ra, H.-K.[Ra, Ho Kyeong]; Kim, H.[Kim, Hyung Seok]; Yoon, H.J.[Yoon, Hee Jung]; Son, S.H.[Son, Sang Hyuk]; Park, T.[Park, Tae Joon]; Moon, S.[Moon, Sang Jun]
Issue Date
2013
Citation
Lab on a Chip - Miniaturisation for Chemistry and Biology, 13(17), 3398-3409
Type
Article
Article Type
Article
Keywords
AlgorithmAnimal CellAnimalsBlood CellsCell CountComputer ProgramControlled StudyDisease CourseHolographyHumanHuman TissueHumansImage ProcessingImagingMiceMicro-Fluidic Analytical TechniquesMolecular RecognitionMouseNIH 3T3 CellsNon-HumanPeriodicityPriority Journal
ISSN
1473-0197
Abstract
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.
URI
http://hdl.handle.net/20.500.11750/3283
DOI
10.1039/c3lc50535a
Publisher
Royal Society of Chemistry
Related Researcher
  • Author Son, Sang Hyuk RTCPS(Real-Time Cyber-Physical Systems Research) Lab
  • Research Interests
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Collection:
Robotics EngineeringETC1. Journal Articles
School of Undergraduate Studies1. Journal Articles
Robotics EngineeringCybernetics Laboratory1. Journal Articles
Robotics EngineeringETC1. Journal Articles


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