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GliaMorph: A modular image analysis toolkit to quantify Müller glial cell morphology
View ORCID ProfileElisabeth Kugler, Isabel Bravo, Xhuljana Durmishi, View ORCID ProfileStefania Marcotti, Sara Beqiri, Alicia Carrington, Brian M. Stramer, View ORCID ProfilePierre Mattar, View ORCID ProfileRyan B. MacDonald
doi: https://doi.org/10.1101/2022.05.05.490765
Elisabeth Kugler
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Isabel Bravo
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Xhuljana Durmishi
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Stefania Marcotti
2Randall Centre for Cell & Molecular Biophysics, King’s College London, New Hunt’s House, London SE1 1UL.
Sara Beqiri
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Alicia Carrington
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Brian M. Stramer
2Randall Centre for Cell & Molecular Biophysics, King’s College London, New Hunt’s House, London SE1 1UL.
Pierre Mattar
3Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada.
4Ottawa Hospital Research Institute (OHRI), Ottawa, ON K1H 8L6, Canada.
Ryan B. MacDonald
1Institute of Ophthalmology, University College London, 11-43 Bath St, Greater London EC1V 9EL.
Posted May 05, 2022.
GliaMorph: A modular image analysis toolkit to quantify Müller glial cell morphology
Elisabeth Kugler, Isabel Bravo, Xhuljana Durmishi, Stefania Marcotti, Sara Beqiri, Alicia Carrington, Brian M. Stramer, Pierre Mattar, Ryan B. MacDonald
bioRxiv 2022.05.05.490765; doi: https://doi.org/10.1101/2022.05.05.490765
GliaMorph: A modular image analysis toolkit to quantify Müller glial cell morphology
Elisabeth Kugler, Isabel Bravo, Xhuljana Durmishi, Stefania Marcotti, Sara Beqiri, Alicia Carrington, Brian M. Stramer, Pierre Mattar, Ryan B. MacDonald
bioRxiv 2022.05.05.490765; doi: https://doi.org/10.1101/2022.05.05.490765
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