From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking

Tim Becker; Daniel H. Rapoport; Amir Madany Mamlouk

doi:10.1109/ISBI.2012.6235565

From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking

Tim Becker, Daniel H. Rapoport, Amir Madany Mamlouk

Abstract

The analysis of time lapse data becomes a more and more important tool in (stem) cell biology, as this method enables a marker free analysis of cell populations over time and allows for the reconstruction of genealogical trees; these information can help to understand the mechanisms behind cell proliferation and differentiation. However, the crucial steps in a cell tracking algorithm (cell segmentation, cell tracking and mitosis detection) have to be performed with a high trustworthiness to find the correct lineage of each cell. Here, we present a novel cell tracking algorithm that combines microscopical images with different contrast mechanisms: first, oblique illumination is used to segment and track cells; second, phase contrast microscopy is used to detect the most critical events, the mitosis. The combination of both detection results in a more robust cell tracking. For evaluation, the free reference data CeTReS is used.

Original language	English
Title of host publication	9th IEEE International Symposium on Biomedical Imaging (ISBI) 2012
Number of pages	4
Publisher	IEEE
Publication date	12.07.2012
Pages	386-389
Article number	12864349
ISBN (Print)	978-1-4577-1857-1
ISBN (Electronic)	978-1-4577-1858-8
DOIs	https://doi.org/10.1109/ISBI.2012.6235565
Publication status	Published - 12.07.2012
Event	IEEE International Symposium on Biomedical Imaging (ISBI) 2012 - Centre Convencions International Barcelona (CCIB), Barcelona, Spain Duration: 02.05.2012 → 05.05.2012 https://ieeexplore.ieee.org/document/6235941/

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10.1109/ISBI.2012.6235565

Cite this

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title = "From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking",

abstract = "The analysis of time lapse data becomes a more and more important tool in (stem) cell biology, as this method enables a marker free analysis of cell populations over time and allows for the reconstruction of genealogical trees; these information can help to understand the mechanisms behind cell proliferation and differentiation. However, the crucial steps in a cell tracking algorithm (cell segmentation, cell tracking and mitosis detection) have to be performed with a high trustworthiness to find the correct lineage of each cell. Here, we present a novel cell tracking algorithm that combines microscopical images with different contrast mechanisms: first, oblique illumination is used to segment and track cells; second, phase contrast microscopy is used to detect the most critical events, the mitosis. The combination of both detection results in a more robust cell tracking. For evaluation, the free reference data CeTReS is used.",

author = "Tim Becker and Rapoport, \{Daniel H.\} and Mamlouk, \{Amir Madany\}",

year = "2012",

month = jul,

day = "12",

doi = "10.1109/ISBI.2012.6235565",

language = "English",

isbn = "978-1-4577-1857-1 ",

series = "IEEE Conference Proceedings",

publisher = "IEEE",

pages = "386--389",

booktitle = "9th IEEE International Symposium on Biomedical Imaging (ISBI) 2012",

note = "IEEE International Symposium on Biomedical Imaging (ISBI) 2012 ; Conference date: 02-05-2012 Through 05-05-2012",

url = "https://ieeexplore.ieee.org/document/6235941/",

}

Becker, T, Rapoport, DH & Mamlouk, AM 2012, From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking. in 9th IEEE International Symposium on Biomedical Imaging (ISBI) 2012., 12864349 , IEEE Conference Proceedings, IEEE, pp. 386-389, IEEE International Symposium on Biomedical Imaging (ISBI) 2012, Barcelona, Spain, 02.05.12. https://doi.org/10.1109/ISBI.2012.6235565

From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking. / Becker, Tim; Rapoport, Daniel H.; Mamlouk, Amir Madany.
9th IEEE International Symposium on Biomedical Imaging (ISBI) 2012. IEEE, 2012. p. 386-389 12864349 (IEEE Conference Proceedings).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

TY - GEN

T1 - From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking

AU - Becker, Tim

AU - Rapoport, Daniel H.

AU - Mamlouk, Amir Madany

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N2 - The analysis of time lapse data becomes a more and more important tool in (stem) cell biology, as this method enables a marker free analysis of cell populations over time and allows for the reconstruction of genealogical trees; these information can help to understand the mechanisms behind cell proliferation and differentiation. However, the crucial steps in a cell tracking algorithm (cell segmentation, cell tracking and mitosis detection) have to be performed with a high trustworthiness to find the correct lineage of each cell. Here, we present a novel cell tracking algorithm that combines microscopical images with different contrast mechanisms: first, oblique illumination is used to segment and track cells; second, phase contrast microscopy is used to detect the most critical events, the mitosis. The combination of both detection results in a more robust cell tracking. For evaluation, the free reference data CeTReS is used.

AB - The analysis of time lapse data becomes a more and more important tool in (stem) cell biology, as this method enables a marker free analysis of cell populations over time and allows for the reconstruction of genealogical trees; these information can help to understand the mechanisms behind cell proliferation and differentiation. However, the crucial steps in a cell tracking algorithm (cell segmentation, cell tracking and mitosis detection) have to be performed with a high trustworthiness to find the correct lineage of each cell. Here, we present a novel cell tracking algorithm that combines microscopical images with different contrast mechanisms: first, oblique illumination is used to segment and track cells; second, phase contrast microscopy is used to detect the most critical events, the mitosis. The combination of both detection results in a more robust cell tracking. For evaluation, the free reference data CeTReS is used.

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SN - 978-1-4577-1857-1

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BT - 9th IEEE International Symposium on Biomedical Imaging (ISBI) 2012

PB - IEEE

T2 - IEEE International Symposium on Biomedical Imaging (ISBI) 2012

Y2 - 2 May 2012 through 5 May 2012

ER -

From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking

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