Combining morphological and migration profiles of in vitro time-lapse data

Tim Becker; Juan C. Caicedo; Shantanu Singh; Markus Weckmann; Anne E. Carpenter

doi:10.1109/ISBI.2018.8363731

Combining morphological and migration profiles of in vitro time-lapse data

Tim Becker, Juan C. Caicedo, Shantanu Singh, Markus Weckmann, Anne E. Carpenter

Clinic of Pediatric and Adolescent Medicine

Broad Institute

2 Citations (Scopus)

Abstract

Neutrophil granulocytes belong to the first responders of the innate immune system and are characterized by the capability to migrate towards a site of bacterial infections or inflammation. Several image-based in vitro assays exist to record and quantify their movement using migration parameters like speed, directionality or mean squared displacement. In this work, we propose to add morphological parameters to the analysis of time-lapse data. We analyzed a previously published data set of neutrophil granulocytes and combined morphological and migration profiles using the similarity network fusion (SNF) algorithm. To assess the information (gain) stored in the morphological, migration and combined data, we propose to use the signal strength as an objective measure. We conclude that morphological profiling can be combined with classical migration parameters to improve the readout of in vitro migration assays.

Original language	English
Title of host publication	2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)
Number of pages	4
Volume	2018-April
Publisher	IEEE
Publication date	23.05.2018
Pages	965-968
ISBN (Print)	978-1-5386-3637-4, 978-1-5386-3635-0
ISBN (Electronic)	978-1-5386-3636-7
DOIs	https://doi.org/10.1109/ISBI.2018.8363731
Publication status	Published - 23.05.2018
Event	2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) - Washington, DC, United States Duration: 04.04.2018 → 07.04.2018

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Becker, T., Caicedo, J. C., Singh, S., Weckmann, M., & Carpenter, A. E. (2018). Combining morphological and migration profiles of in vitro time-lapse data. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Vol. 2018-April, pp. 965-968). (Proceedings - International Symposium on Biomedical Imaging). IEEE. https://doi.org/10.1109/ISBI.2018.8363731

@inproceedings{6d890a1e4516493da94df1554666599e,

title = "Combining morphological and migration profiles of in vitro time-lapse data",

abstract = "Neutrophil granulocytes belong to the first responders of the innate immune system and are characterized by the capability to migrate towards a site of bacterial infections or inflammation. Several image-based in vitro assays exist to record and quantify their movement using migration parameters like speed, directionality or mean squared displacement. In this work, we propose to add morphological parameters to the analysis of time-lapse data. We analyzed a previously published data set of neutrophil granulocytes and combined morphological and migration profiles using the similarity network fusion (SNF) algorithm. To assess the information (gain) stored in the morphological, migration and combined data, we propose to use the signal strength as an objective measure. We conclude that morphological profiling can be combined with classical migration parameters to improve the readout of in vitro migration assays.",

author = "Tim Becker and Caicedo, \{Juan C.\} and Shantanu Singh and Markus Weckmann and Carpenter, \{Anne E.\}",

note = "Funding Information: This work was supported in part by the National Institutes of Health (R35 GM122547 to AEC) and TB was funded by DFG Funding Information: Research Fellowship 5728. Publisher Copyright: {\textcopyright} 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) ; Conference date: 04-04-2018 Through 07-04-2018",

year = "2018",

month = may,

day = "23",

doi = "10.1109/ISBI.2018.8363731",

language = "English",

isbn = "978-1-5386-3637-4",

volume = "2018-April",

series = "Proceedings - International Symposium on Biomedical Imaging",

publisher = "IEEE",

pages = "965--968",

booktitle = "2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)",

}

Becker, T, Caicedo, JC, Singh, S, Weckmann, M & Carpenter, AE 2018, Combining morphological and migration profiles of in vitro time-lapse data. in 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). vol. 2018-April, Proceedings - International Symposium on Biomedical Imaging, IEEE, pp. 965-968, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, United States, 04.04.18. https://doi.org/10.1109/ISBI.2018.8363731

Combining morphological and migration profiles of in vitro time-lapse data. / Becker, Tim; Caicedo, Juan C.; Singh, Shantanu et al.
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018). Vol. 2018-April IEEE, 2018. p. 965-968 (Proceedings - International Symposium on Biomedical Imaging).

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

TY - GEN

T1 - Combining morphological and migration profiles of in vitro time-lapse data

AU - Becker, Tim

AU - Caicedo, Juan C.

AU - Singh, Shantanu

AU - Weckmann, Markus

AU - Carpenter, Anne E.

N1 - Funding Information: This work was supported in part by the National Institutes of Health (R35 GM122547 to AEC) and TB was funded by DFG Funding Information: Research Fellowship 5728. Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2018/5/23

Y1 - 2018/5/23

N2 - Neutrophil granulocytes belong to the first responders of the innate immune system and are characterized by the capability to migrate towards a site of bacterial infections or inflammation. Several image-based in vitro assays exist to record and quantify their movement using migration parameters like speed, directionality or mean squared displacement. In this work, we propose to add morphological parameters to the analysis of time-lapse data. We analyzed a previously published data set of neutrophil granulocytes and combined morphological and migration profiles using the similarity network fusion (SNF) algorithm. To assess the information (gain) stored in the morphological, migration and combined data, we propose to use the signal strength as an objective measure. We conclude that morphological profiling can be combined with classical migration parameters to improve the readout of in vitro migration assays.

AB - Neutrophil granulocytes belong to the first responders of the innate immune system and are characterized by the capability to migrate towards a site of bacterial infections or inflammation. Several image-based in vitro assays exist to record and quantify their movement using migration parameters like speed, directionality or mean squared displacement. In this work, we propose to add morphological parameters to the analysis of time-lapse data. We analyzed a previously published data set of neutrophil granulocytes and combined morphological and migration profiles using the similarity network fusion (SNF) algorithm. To assess the information (gain) stored in the morphological, migration and combined data, we propose to use the signal strength as an objective measure. We conclude that morphological profiling can be combined with classical migration parameters to improve the readout of in vitro migration assays.

UR - https://www.scopus.com/pages/publications/85048132655

U2 - 10.1109/ISBI.2018.8363731

DO - 10.1109/ISBI.2018.8363731

M3 - Conference contribution

SN - 978-1-5386-3637-4

SN - 978-1-5386-3635-0

VL - 2018-April

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 965

EP - 968

BT - 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

PB - IEEE

T2 - 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

Y2 - 4 April 2018 through 7 April 2018

ER -

Combining morphological and migration profiles of in vitro time-lapse data

Abstract

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