Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images

Research output: Contribution to journalJournal articlepeer-review

Standard

Wrinkle force microscopy : a machine learning based approach to predict cell mechanics from images . / Liu, Honghan; Daiki, Matsunga; Tsubasa, Matsui; Hiroki, Aosaki; Genki, Kinoshita; Koki, Inoue; Doostmohammadi, Amin; Shinji, Deguchi.

In: Communications Biology, Vol. 5, No. 1, 361, 14.04.2022.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Liu, H, Daiki, M, Tsubasa, M, Hiroki, A, Genki, K, Koki, I, Doostmohammadi, A & Shinji, D 2022, 'Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images ', Communications Biology, vol. 5, no. 1, 361. https://doi.org/10.1038/s42003-022-03288-x

APA

Liu, H., Daiki, M., Tsubasa, M., Hiroki, A., Genki, K., Koki, I., Doostmohammadi, A., & Shinji, D. (2022). Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images . Communications Biology, 5(1), [361]. https://doi.org/10.1038/s42003-022-03288-x

Vancouver

Liu H, Daiki M, Tsubasa M, Hiroki A, Genki K, Koki I et al. Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images . Communications Biology. 2022 Apr 14;5(1). 361. https://doi.org/10.1038/s42003-022-03288-x

Author

Liu, Honghan ; Daiki, Matsunga ; Tsubasa, Matsui ; Hiroki, Aosaki ; Genki, Kinoshita ; Koki, Inoue ; Doostmohammadi, Amin ; Shinji, Deguchi. / Wrinkle force microscopy : a machine learning based approach to predict cell mechanics from images . In: Communications Biology. 2022 ; Vol. 5, No. 1.

Bibtex

@article{8e1793c0414d47d7a07103430d4fabb5,
title = "Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images ",
author = "Honghan Liu and Matsunga Daiki and Matsui Tsubasa and Aosaki Hiroki and Kinoshita Genki and Inoue Koki and Amin Doostmohammadi and Deguchi Shinji",
year = "2022",
month = apr,
day = "14",
doi = "10.1038/s42003-022-03288-x",
language = "English",
volume = "5",
journal = "Communications Biology",
issn = "2399-3642",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Wrinkle force microscopy

T2 - a machine learning based approach to predict cell mechanics from images

AU - Liu, Honghan

AU - Daiki, Matsunga

AU - Tsubasa, Matsui

AU - Hiroki, Aosaki

AU - Genki, Kinoshita

AU - Koki, Inoue

AU - Doostmohammadi, Amin

AU - Shinji, Deguchi

PY - 2022/4/14

Y1 - 2022/4/14

U2 - 10.1038/s42003-022-03288-x

DO - 10.1038/s42003-022-03288-x

M3 - Journal article

C2 - 35422083

VL - 5

JO - Communications Biology

JF - Communications Biology

SN - 2399-3642

IS - 1

M1 - 361

ER -

ID: 305694357