Cell morphology quantification

JR Jordan A. Ramilowski
CY Chi Wai Yip
SA Saumya Agrawal
JC Jen-Chien Chang
YC Yari Ciani
IK Ivan V. Kulakovskiy
MM Mickaël Mendez
JO Jasmine Li Ching Ooi
JO John F. Ouyang
NP Nick Parkinson
AP Andreas Petri
LR Leonie Roos
JS Jessica Severin
KY Kayoko Yasuzawa
IA Imad Abugessaisa
AA Altuna Akalin
IA Ivan V. Antonov
EA Erik Arner
AB Alessandro Bonetti
HB Hidemasa Bono
BB Beatrice Borsari
FB Frank Brombacher
CC Christopher J.F. Cameron
CC Carlo Vittorio Cannistraci
RC Ryan Cardenas
MC Melissa Cardon
HC Howard Chang
JD Josée Dostie
LD Luca Ducoli
AF Alexander Favorov
AF Alexandre Fort
DG Diego Garrido
NG Noa Gil
JG Juliette Gimenez
RG Reto Guler
LH Lusy Handoko
JH Jayson Harshbarger
AH Akira Hasegawa
YH Yuki Hasegawa
KH Kosuke Hashimoto
NH Norihito Hayatsu
PH Peter Heutink
TH Tetsuro Hirose
EI Eddie L. Imada
MI Masayoshi Itoh
BK Bogumil Kaczkowski
AK Aditi Kanhere
EK Emily Kawabata
HK Hideya Kawaji
TK Tsugumi Kawashima
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For each transfection, a representative phase-contrast image at a single time point was exported from the Incucyte time-series. These raw images were first transformed to probability maps of cells by pixel classification using ilastik (1.3.2) (Berg et al. 2019). The trained model was then applied to all images where the predicted probability maps of cells (grayscale, 16 bits tiff format) were subsequently used for morphology quantification in CellProfiler (3.1.5) (Carpenter et al. 2006). For details, please refer to the Supplemental Methods.

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