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An end-to-end software solution for the analysis of high-throughput single-cell migration data

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Abstract
The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory-and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their highthroughput data processing.
Keywords
CANCER-CELLS, IN-VITRO, ASSAYS, INVASION, MORPHOGENESIS, MICROSCOPY, MOTILITY

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Chicago
Masuzzo, Paola, LYNN HUYCK, Aleksandra Simiczyjew, Christophe Ampe, Lennart Martens, and Marleen Van Troys. 2017. “An End-to-end Software Solution for the Analysis of High-throughput Single-cell Migration Data.” Scientific Reports 7.
APA
Masuzzo, P., HUYCK, L., Simiczyjew, A., Ampe, C., Martens, L., & Van Troys, M. (2017). An end-to-end software solution for the analysis of high-throughput single-cell migration data. SCIENTIFIC REPORTS, 7.
Vancouver
1.
Masuzzo P, HUYCK L, Simiczyjew A, Ampe C, Martens L, Van Troys M. An end-to-end software solution for the analysis of high-throughput single-cell migration data. SCIENTIFIC REPORTS. 2017;7.
MLA
Masuzzo, Paola, LYNN HUYCK, Aleksandra Simiczyjew, et al. “An End-to-end Software Solution for the Analysis of High-throughput Single-cell Migration Data.” SCIENTIFIC REPORTS 7 (2017): n. pag. Print.
@article{8524217,
  abstract     = {The systematic study of single-cell migration requires the availability of software for assisting data inspection, quality control and analysis. This is especially important for high-throughput experiments, where multiple biological conditions are tested in parallel. Although the field of cell migration can count on different computational tools for cell segmentation and tracking, downstream data visualization, parameter extraction and statistical analysis are still left to the user and are currently not possible within a single tool. This article presents a completely new module for the open-source, cross-platform CellMissy software for cell migration data management. This module is the first tool to focus specifically on single-cell migration data downstream of image processing. It allows fast comparison across all tested conditions, providing automated data visualization, assisted data filtering and quality control, extraction of various commonly used cell migration parameters, and non-parametric statistical analysis. Importantly, the module enables parameters computation both at the trajectory-and at the step-level. Moreover, this single-cell analysis module is complemented by a new data import module that accommodates multiwell plate data obtained from high-throughput experiments, and is easily extensible through a plugin architecture. In conclusion, the end-to-end software solution presented here tackles a key bioinformatics challenge in the cell migration field, assisting researchers in their highthroughput data processing.},
  articleno    = {42383},
  author       = {Masuzzo, Paola and Huyck, Lynn and Simiczyjew, Aleksandra and Ampe, Christophe and Martens, Lennart and Van Troys, Marleen},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  keyword      = {CANCER-CELLS,IN-VITRO,ASSAYS,INVASION,MORPHOGENESIS,MICROSCOPY,MOTILITY},
  language     = {eng},
  pages        = {13},
  title        = {An end-to-end software solution for the analysis of high-throughput single-cell migration data},
  url          = {http://dx.doi.org/10.1038/srep42383},
  volume       = {7},
  year         = {2017},
}

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