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

Honghan Liu; Matsunga Daiki; Matsui Tsubasa; Aosaki Hiroki; Kinoshita Genki; Inoue Koki; Amin Doostmohammadi; Deguchi Shinji

doi:10.1038/s42003-022-03288-x

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

Honghan Liu, Matsunga Daiki, Matsui Tsubasa, Aosaki Hiroki, Kinoshita Genki, Inoue Koki, Amin Doostmohammadi, Deguchi Shinji

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

14 Citationer (Scopus)

49 Downloads (Pure)

Originalsprog	Engelsk
Artikelnummer	361
Tidsskrift	Communications Biology
Vol/bind	5
Udgave nummer	1
Antal sider	9
ISSN	2399-3642
DOI	https://doi.org/10.1038/s42003-022-03288-x
Status	Udgivet - 14 apr. 2022

Adgang til dokumentet

10.1038/s42003-022-03288-xLicens: CC BY

s42003-022-03288-xForlagets udgivne version, 6,59 MBLicens: CC BY

Citationsformater

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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",

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doi = "10.1038/s42003-022-03288-x",

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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

SN - 2399-3642

VL - 5

JO - Communications Biology

JF - Communications Biology

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