Using Deep Learning to Identify Cell and Particle in Live-Cell Time-lapse Images

Hui Jun Cheng, Chun Yuan Lin, Cheng Xian Wu, Che Lun Hung, Wei Hsiang Chen, Chuan Yi Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Live-cell time-lapse images generated by biological experiments are useful for observing activities, even for proposing novel hypotheses. In past work, we had proposed a particle-cell relation mining method, abbreviate to PCRM, which involved identifying particles and cells as objects from live-cell time-lapse images at first. Then PCRM is used to track the pathways of particles to calculate the measures as distances between the particles and cells. Finally, the relationship of particles and cells can be quantified by PCRM. The PCRM is useful for biologists to prove their hypotheses. However,it is very time-consuming when identifying the objects among a large number of biological images. Hence, in this paper, we propose a method using deep learning technology, abbreviated to PCOD, to accelerate the particle and cell identification. The PCOD method achieves the accuracies of 90.2% and 99.9% for particles and cells identification, respectively. In this way, the overall particles and cells can be identified in real time.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
EditorsHarald Schmidt, David Griol, Haiying Wang, Jan Baumbach, Huiru Zheng, Zoraida Callejas, Xiaohua Hu, Julie Dickerson, Le Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1327-1331
Number of pages5
ISBN (Electronic)9781538654880
DOIs
StatePublished - 21 01 2019
Event2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018 - Madrid, Spain
Duration: 03 12 201806 12 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018

Conference

Conference2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Country/TerritorySpain
CityMadrid
Period03/12/1806/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • CNN
  • Deep Learning
  • live-cell time-lapse image
  • particle and cell identification
  • real-time object identification

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