Realtime cell tracking in a microchannel

Shuhei Yoshikawa, Chia Hung Dylan Tsai, Shinya Sakuma, Fumihito Arai, Makoto Kaneko

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)

Abstract

A method for simultaneously tracking multiple cells in a microchannel is proposed in this paper. The instantaneous size, position and velocity of cell though a microchannel can be obtained by using the method. In order to improve both the success rate and computing speed of the tracking, two possible fault cases are classified, and the fault cases are avoided during the image process. Red blood cells (RBCs) from the same subject on different days are tested in experiment. Result shows that the fault detection significantly improves the success rate of the tracking from 89.6% to 99.5%. The repeatability of the proposed method is verified by the similar distribution of cell size between the two tests. The proposed method is practically useful for evaluating cell characteristics in a microchannel system, and has potential toward a real-time cell tracking according to the low computing cost demonstrated in the experimental results.

Original languageEnglish
Pages144-147
Number of pages4
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013 - Jeju, Korea, Republic of
Duration: Oct 30 2013Nov 2 2013

Conference

Conference2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2013
CountryKorea, Republic of
CityJeju
Period10/30/1311/2/13

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction

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