Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Erik S. Welf"'
Autor:
Vasanth S. Murali, Bo-Jui Chang, Reto Fiolka, Gaudenz Danuser, Murat Can Cobanoglu, Erik S. Welf
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-17 (2019)
Abstract Background Every biological experiment requires a choice of throughput balanced against physiological relevance. Most primary drug screens neglect critical parameters such as microenvironmental conditions, cell-cell heterogeneity, and specif
Externí odkaz:
https://doaj.org/article/ce01fffca20842278247ccf00a0ded08
Autor:
Andrew D. Weems, Erik S. Welf, Meghan K. Driscoll, Felix Y. Zhou, Hanieh Mazloom-Farsibaf, Bo-Jui Chang, Vasanth S. Murali, Gabriel M. Gihana, Byron G. Weiss, Joseph Chi, Divya Rajendran, Kevin M. Dean, Reto Fiolka, Gaudenz Danuser
Publikováno v:
Nature. 615:517-525
Autor:
Etai Sapoznik, Bo-Jui Chang, Jaewon Huh, Robert J Ju, Evgenia V Azarova, Theresa Pohlkamp, Erik S Welf, David Broadbent, Alexandre F Carisey, Samantha J Stehbens, Kyung-Min Lee, Arnaldo Marín, Ariella B Hanker, Jens C Schmidt, Carlos L Arteaga, Bin Yang, Yoshihiko Kobayashi, Purushothama Rao Tata, Rory Kruithoff, Konstantin Doubrovinski, Douglas P Shepherd, Alfred Millett-Sikking, Andrew G York, Kevin M Dean, Reto P Fiolka
Publikováno v:
eLife, Vol 9 (2020)
We present an oblique plane microscope (OPM) that uses a bespoke glass-tipped tertiary objective to improve the resolution, field of view, and usability over previous variants. Owing to its high numerical aperture optics, this microscope achieves lat
Externí odkaz:
https://doaj.org/article/2e2ea231dd3f469fb756c32b4e680715
Autor:
Andrew R. Jamieson, Erik S. Welf, Reto Fiolka, Gaudenz Danuser, Meghan Driscoll, Tadamoto Isogai, Kevin M. Dean
Publikováno v:
Nature methods
Rapid developments in live-cell three-dimensional (3D) microscopy enable imaging of cell morphology and signaling with unprecedented detail. However, tools to systematically measure and visualize the intricate relationships between intracellular sign
Autor:
Gaudenz Danuser, Jörg Renkawitz, Robert Hauschild, Aglaja Kopf, Jack Merrin, Michael Sixt, Ingrid de Vries, Julian Stopp, Meghan Driscoll, Reto Fiolka, Erik S. Welf
Publikováno v:
Nature
During metazoan development, immune surveillance and cancer dissemination, cells migrate in complex three-dimensional microenvironments(1–3). These spaces are crowded by cells and extracellular matrix, generating mazes with differently sized gaps t
Autor:
Brandi L. Cantarel, Assaf Zaritsky, Andres Nevarez, Justin Cillay, Gaudenz Danuser, Erik S. Welf, Ugur Eskiocak, Andrew R. Jamieson
Publikováno v:
Cell Syst
Deep learning has emerged as the technique of choice for identifying hidden patterns in cell imaging data but is often criticized as "black box." Here, we employ a generative neural network in combination with supervised machine learning to classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8696371649081c0234e10328431d1331
https://europepmc.org/articles/PMC8353662/
https://europepmc.org/articles/PMC8353662/
Autor:
Andrew D. Weems, Erik S. Welf, Meghan K. Driscoll, Felix Zhou, Hanieh Mazloom-Farsibaf, Bo-Jui Chang, Vasanth S. Murali, Gabriel M. Gihana, Byron G. Weiss, Joseph Chi, Divya Rajendran, Kevin M. Dean, Reto Fiolka, Gaudenz Danuser
Most human cells require anchorage for survival. Cell-substrate adhesion activates diverse signaling pathways, without which cells undergo anoikis – a form of programmed cell death1. Acquisition of anoikis resistance is a pivotal step in cancer dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4e20b2c431074d38a698f00800be002
https://doi.org/10.1101/2021.04.23.441200
https://doi.org/10.1101/2021.04.23.441200
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2265
Researchers often aim to incorporate microenvironmental variables such as the dimensionality and composition of the extracellular matrix into their cell-based assays. A technical challenge created by introduction of these variables is quantification
Autor:
Venkat S. Malladi, Vasanth S. Murali, Ganesh V. Raj, Murat Can Cobanoglu, Zinn M, Ağaç Çobanoğlu D, Erik S. Welf, Noelle S. Williams, Hsieh M, Gesell J
The heterogeneity of cancer necessitates developing a multitude of targeted therapies. We propose the view that cancer drug discovery is a low rank tensor completion problem. We implement this vision by using heterogeneous public data to construct a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::194bfc1aa230480e03172ba97f7b6ba5
https://doi.org/10.1101/2021.03.08.434311
https://doi.org/10.1101/2021.03.08.434311
Publikováno v:
Methods in Molecular Biology ISBN: 9781071612040
Researchers often aim to incorporate microenvironmental variables such as the dimensionality and composition of the extracellular matrix into their cell-based assays. A technical challenge created by introduction of these variables is quantification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1263bc6605ff4bacd977397be53495b
https://doi.org/10.1007/978-1-0716-1205-7_12
https://doi.org/10.1007/978-1-0716-1205-7_12