Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Augoustina Maria Economou"'
Autor:
Nicola Dietler, Matthias Minder, Vojislav Gligorovski, Augoustina Maria Economou, Denis Alain Henri Lucien Joly, Ahmad Sadeghi, Chun Hei Michael Chan, Mateusz Koziński, Martin Weigert, Anne-Florence Bitbol, Sahand Jamal Rahi
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-8 (2020)
Current cell segmentation methods for Saccharomyces cerevisiae face challenges under a variety of standard experimental and imaging conditions. Here the authors develop a convolutional neural network for accurate, label-free cell segmentation.
Externí odkaz:
https://doaj.org/article/1386b197c37e4a83a88513c47ac98ec5
Autor:
Ahmad Sadeghi, Anne-Florence Bitbol, Matthias Minder, Mateusz Kozinski, Denis Alain Henri Lucien Joly, Augoustina Maria Economou, Martin Weigert, Nicola Dietler, Vojislav Gligorovski, Sahand Jamal Rahi, Chun Hei Michael Chan
The processing of microscopy images constitutes a bottleneck for large-scale experiments. A critical step is the establishment of cell borders (‘segmentation’), which is required for a range of applications such as growth or fluorescent reporter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0292a1fc9994311ce13b5a6c3615648a
Autor:
Saeid Ansaryan, Yen-Cheng Liu, Xiaokang Li, Augoustina Maria Economou, Christiane Sigrid Eberhardt, Camilla Jandus, Hatice Altug
Methods for the analysis of cell secretions at the single-cell level only provide semiquantitative endpoint readouts. Here we describe a microwell array for the real-time spatiotemporal monitoring of extracellular secretions from hundreds of single c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b1519cb9a2c3dd37373a8dc0213a0c4
https://infoscience.epfl.ch/record/302344
https://infoscience.epfl.ch/record/302344