Automatic Single-Cell Segmentation and Tracking of Bacterial Cells in 
Fluorescence Microscopy Images

Liluashvili, Vaja; Bergeest, Jan-Philip; Harder, Nathalie; Ziesack, Marika; Mutlu, Alper; Bischofs, Ilka B.; Rohr, Karl

doi:10.1007/978-3-662-46224-9_42

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Automatic Single-Cell Segmentation and Tracking of Bacterial Cells in Fluorescence Microscopy Images

Liluashvili, V., Bergeest, J.-P., Harder, N., Ziesack, M., Mutlu, A., Bischofs, I. B., et al. (2015). Automatic Single-Cell Segmentation and Tracking of Bacterial Cells in Fluorescence Microscopy Images. In BILDVERARBEITUNG FUR DIE MEDIZIN 2015: ALGORITHMEN - SYSTEME - ANWENDUNGEN (pp. 239-244).

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-91AB-F Version Permalink: https://hdl.handle.net/21.11116/0000-000C-91AC-E

Genre: Conference Paper

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Creators:
Liluashvili, Vaja¹, Author
Bergeest, Jan-Philip¹, Author
Harder, Nathalie¹, Author
Ziesack, Marika¹, Author
Mutlu, Alper¹, Author
Bischofs, Ilka B.², Author
Rohr, Karl¹, Author

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1external, ou_persistent22
2Center for Molecular Biology (ZMBH) and Center for the Quantitative Analysis of Molecular and Cellular Biosystems (BioQuant), University of Heidelberg, Germany, ou_persistent22

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Abstract: Automatic single-cell image analysis allows gaining deeper insights into biological processes. We present an approach for single-cell segmentation and tracking of bacterial cells in time-lapse microscopy image data. For cell segmentation we use linear feature detection and a probability map combined with schemes for cell splitting. For cell tracking we propose an approach based on the maximal overlapping area between cells, which is robust regarding cell rotation and accurately detects cell divisions. Our approach was successfully applied to segment and track cells in time-lapse images of the life cycle of Bacillus subtilis. We also quantitatively evaluated the performance of the segmentation and tracking approaches.

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Dates: Date issued: 2015

Publication Status: Issued

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Identifiers: ISI: 000384521700042
DOI: 10.1007/978-3-662-46224-9_42

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Title: Conference on Image Processing for Medicine (BVM)

Place of Event: Univ Luebeck, Inst Med Informat, Luebeck, GERMANY

Start-/End Date: 2015-03-15 - 2015-03-17

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Title: BILDVERARBEITUNG FUR DIE MEDIZIN 2015: ALGORITHMEN - SYSTEME - ANWENDUNGEN

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 239 - 244 Identifier: ISBN: 978-3-662-46224-9; 978-3-662-46223-2