Instant processing of large-scale image data with FACT, a real-time cell segmentation and tracking algorithm

Ting Chun Chou, Li You, Cecile Beerens, Kate J. Feller, Jelle Storteboom, Miao Ping Chien*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

10 Downloads (Pure)

Abstract

Quantifying cellular characteristics from a large heterogeneous population is essential to identify rare, disease-driving cells. A recent development in the combination of high-throughput screening microscopy with single-cell profiling provides an unprecedented opportunity to decipher disease-driving phenotypes. Accurately and instantly processing large amounts of image data, however, remains a technical challenge when an analysis output is required minutes after data acquisition. Here, we present fast and accurate real-time cell tracking (FACT). FACT can segment ∼20,000 cells in an average of 2.5 s (1.9–93.5 times faster than the state of the art). It can export quantifiable features minutes after data acquisition (independent of the number of acquired image frames) with an average of 90%–96% precision. We apply FACT to identify directionally migrating glioblastoma cells with 96% precision and irregular cell lineages from a 24 h movie with an average F1 score of 0.91.

Original languageEnglish
Article number100636
JournalCell Reports Methods
Volume3
Issue number11
DOIs
Publication statusPublished - 20 Nov 2023

Bibliographical note

Publisher Copyright: © 2023 The Author(s)

Fingerprint

Dive into the research topics of 'Instant processing of large-scale image data with FACT, a real-time cell segmentation and tracking algorithm'. Together they form a unique fingerprint.

Cite this