Open Access Article
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Correction: Morphological signatures of actin organization in single cells accurately classify genetic perturbations using CNNs with transfer learning
Sydney
Alderfer
ab,
Jiangyu
Sun
c,
Lubna
Tahtamouni
cd and
Ashok
Prasad
*ab
aDepartment of Chemical and Biological Engineering, Colorado State University, Fort Collins, CO 80523, USA. E-mail: ashok.prasad@colostate.edu
bSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO 80523, USA
cDepartment of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA
dDepartment of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan
First published on 31st October 2022
Abstract
Correction for ‘Morphological signatures of actin organization in single cells accurately classify genetic perturbations using CNNs with transfer learning’ by Sydney Alderfer et al., Soft Matter, 2022, https://doi.org/10.1039/d2sm01000c.
The authors regret the omission of the text “Faculty of Science” from affiliation d of Lubna Tahtamouni, in the published article. The correct full details for affiliation d are: d Department of Biology and Biotechnology, Faculty of Science, The Hashemite University, Zarqa, Jordan.
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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