Cell tracking for cell image analysis

Ryoma Bise, Yoichi Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Cell image analysis is important for research and discovery in biology and medicine. In this paper, we present our cell tracking methods, which is capable of obtaining fine-grain cell behavior metrics. In order to address difficulties under dense culture conditions, where cell detection cannot be done reliably since cell often touch with blurry intercellular boundaries, we proposed two methods which are global data association and jointly solving cell detection and association. We also show the effectiveness of the proposed methods by applying the method to the biological researches.

Original languageEnglish
Title of host publicationBiomedical Imaging and Sensing Conference
EditorsYasuhiro Awatsuji, Osamu Matoba, Yoshihisa Aizu, Toyohiko Yatagai
ISBN (Electronic)9781510610033
Publication statusPublished - 2017
Externally publishedYes
Event3rd Biomedical Imaging and Sensing Conference - Yokohama, Japan
Duration: Apr 19 2017Apr 21 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Other3rd Biomedical Imaging and Sensing Conference

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Cell tracking for cell image analysis'. Together they form a unique fingerprint.

Cite this