Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations

Dai Fei Elmer Ker, Sungeun Eom, Sho Sanami, Ryoma Bise, Corinne Pascale, Zhaozheng Yin, Seung Il Huh, Elvira Osuna-Highley, Silvina N. Junkers, Casey J. Helfrich, Peter Yongwen Liang, Jiyan Pan, Soojin Jeong, Steven S. Kang, Jinyu Liu, Ritchie Nicholson, Michael F. Sandbothe, Phu T. Van, Anan Liu, Mei ChenTakeo Kanade, Lee E. Weiss, Phil G. Campbell

研究成果: ジャーナルへの寄稿記事

抄録

Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these datasets and were validated using a two-tier system of manual curation. This comprehensive, validated dataset will be useful in advancing the development of computer-aided cell tracking algorithms and function as a benchmark, providing an invaluable opportunity to deepen our understanding of individual and population-based cell dynamics for biomedical research.

元の言語英語
記事番号180237
ジャーナルScientific Data
5
DOI
出版物ステータス出版済み - 1 1 2018

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Phase Contrast
Microscopy
Annotation
Microscopic examination
Fibroblasts
Growth Factors
Cell
Bone
Cells
Proteins
parents
Protein
Cultured Cells
Cell Population
Image Sequence
Quantify
Intercellular Signaling Peptides and Proteins
time
Growth factors
Benchmark

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

これを引用

Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations. / Ker, Dai Fei Elmer; Eom, Sungeun; Sanami, Sho; Bise, Ryoma; Pascale, Corinne; Yin, Zhaozheng; Huh, Seung Il; Osuna-Highley, Elvira; Junkers, Silvina N.; Helfrich, Casey J.; Liang, Peter Yongwen; Pan, Jiyan; Jeong, Soojin; Kang, Steven S.; Liu, Jinyu; Nicholson, Ritchie; Sandbothe, Michael F.; Van, Phu T.; Liu, Anan; Chen, Mei; Kanade, Takeo; Weiss, Lee E.; Campbell, Phil G.

:: Scientific Data, 巻 5, 180237, 01.01.2018.

研究成果: ジャーナルへの寄稿記事

Ker, DFE, Eom, S, Sanami, S, Bise, R, Pascale, C, Yin, Z, Huh, SI, Osuna-Highley, E, Junkers, SN, Helfrich, CJ, Liang, PY, Pan, J, Jeong, S, Kang, SS, Liu, J, Nicholson, R, Sandbothe, MF, Van, PT, Liu, A, Chen, M, Kanade, T, Weiss, LE & Campbell, PG 2018, 'Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations', Scientific Data, 巻. 5, 180237. https://doi.org/10.1038/sdata.2018.237
Ker, Dai Fei Elmer ; Eom, Sungeun ; Sanami, Sho ; Bise, Ryoma ; Pascale, Corinne ; Yin, Zhaozheng ; Huh, Seung Il ; Osuna-Highley, Elvira ; Junkers, Silvina N. ; Helfrich, Casey J. ; Liang, Peter Yongwen ; Pan, Jiyan ; Jeong, Soojin ; Kang, Steven S. ; Liu, Jinyu ; Nicholson, Ritchie ; Sandbothe, Michael F. ; Van, Phu T. ; Liu, Anan ; Chen, Mei ; Kanade, Takeo ; Weiss, Lee E. ; Campbell, Phil G. / Phase contrast time-lapse microscopy datasets with automated and manual cell tracking annotations. :: Scientific Data. 2018 ; 巻 5.
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abstract = "Phase contrast time-lapse microscopy is a non-destructive technique that generates large volumes of image-based information to quantify the behaviour of individual cells or cell populations. To guide the development of algorithms for computer-aided cell tracking and analysis, 48 time-lapse image sequences, each spanning approximately 3.5 days, were generated with accompanying ground truths for C2C12 myoblast cells cultured under 4 different media conditions, including with fibroblast growth factor 2 (FGF2), bone morphogenetic protein 2 (BMP2), FGF2 + BMP2, and control (no growth factor). The ground truths generated contain information for tracking at least 3 parent cells and their descendants within these datasets and were validated using a two-tier system of manual curation. This comprehensive, validated dataset will be useful in advancing the development of computer-aided cell tracking algorithms and function as a benchmark, providing an invaluable opportunity to deepen our understanding of individual and population-based cell dynamics for biomedical research.",
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AU - Sanami, Sho

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AU - Pascale, Corinne

AU - Yin, Zhaozheng

AU - Huh, Seung Il

AU - Osuna-Highley, Elvira

AU - Junkers, Silvina N.

AU - Helfrich, Casey J.

AU - Liang, Peter Yongwen

AU - Pan, Jiyan

AU - Jeong, Soojin

AU - Kang, Steven S.

AU - Liu, Jinyu

AU - Nicholson, Ritchie

AU - Sandbothe, Michael F.

AU - Van, Phu T.

AU - Liu, Anan

AU - Chen, Mei

AU - Kanade, Takeo

AU - Weiss, Lee E.

AU - Campbell, Phil G.

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