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2017 | Supplement | Chapter

Cell Lineage Tracing in Lens-Free Microscopy Videos

Authors : Markus Rempfler, Sanjeev Kumar, Valentin Stierle, Philipp Paulitschke, Bjoern Andres, Bjoern H. Menze

Published in: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017

Publisher: Springer International Publishing

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Abstract

In vitro experiments with cell cultures are essential for studying growth and migration behaviour and thus, for gaining a better understanding of cancer progression and its treatment. While recent progress in lens-free microscopy (LFM) has rendered it an inexpensive tool for continuous monitoring of these experiments, there is only little work on analysing such time-lapse sequences.

We propose (1) a cell detector for LFM images based on residual learning, and (2) a probabilistic model based on moral lineage tracing that explicitly handles multiple detections and temporal successor hypotheses by clustering and tracking simultaneously. (3) We benchmark our method on several hours of LFM time-lapse sequences in terms of detection and tracking scores. Finally, (4) we demonstrate its effectiveness for quantifying cell population dynamics.

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Title: Cell Lineage Tracing in Lens-Free Microscopy Videos
Authors: Markus Rempfler
Sanjeev Kumar
Valentin Stierle
Philipp Paulitschke
Bjoern Andres
Bjoern H. Menze
Publisher: Springer International Publishing
Book: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
Print ISBN: 978-3-319-66184-1

Electronic ISBN: 978-3-319-66185-8

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-66185-8_1

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