Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Max Häusler"'
Autor:
Nicole Burkert, Shoumik Roy, Max Häusler, Dominik Wuttke, Sonja Müller, Johanna Wiemer, Helene Hollmann, Marvin Oldrati, Jorge Ramirez-Franco, Julia Benkert, Michael Fauler, Johanna Duda, Jean-Marc Goaillard, Christina Pötschke, Moritz Münchmeyer, Rosanna Parlato, Birgit Liss
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-26 (2023)
Abstract Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify cell numbers, and fluorescence signals within cellular compartments, derived from RNAscope or immunohistochemistry. We utilised DLAP to a
Externí odkaz:
https://doaj.org/article/7e2313ece132485ba389be8ee8efcbe2
Autor:
Nicole Burkert, Shoumik Roy, Max Häusler, Dominik Wuttke, Sonja Müller, Johanna Wiemer, Helene Hollmann, Jorge Ramirez-Franco, Julia Benkert, Michael Fauler, Johanna Duda, Christina Pötschke, Jean-Marc Goillard, Moritz Münchmeyer, Rosanna Parlato, Birgit Liss
Here we present a deep learning-based image analysis platform (DLAP), tailored to autonomously quantify numbers of neuronal subtypes in defined areas, and of fluorescence signals, derived from RNAscope probes or immunohistochemistry, in defined cellu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22a935d72992fc710e4d3487bb6cc72f
https://doi.org/10.1101/2022.12.14.520432
https://doi.org/10.1101/2022.12.14.520432