Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Fangwei Si"'
Autor:
Ryan Thiermann, Michael Sandler, Gursharan Ahir, John T Sauls, Jeremy Schroeder, Steven Brown, Guillaume Le Treut, Fangwei Si, Dongyang Li, Jue D Wang, Suckjoon Jun
Publikováno v:
eLife, Vol 12 (2024)
Despite much progress, image processing remains a significant bottleneck for high-throughput analysis of microscopy data. One popular platform for single-cell time-lapse imaging is the mother machine, which enables long-term tracking of microbial cel
Externí odkaz:
https://doaj.org/article/2cd10faf989a49f4bef667485c4da46e
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
We examine five quantitative models of the cell-cycle and cell-size control in Escherichia coli and Bacillus subtilis that have been proposed over the last decade to explain single-cell experimental data generated with high-throughput methods. After
Externí odkaz:
https://doaj.org/article/84e59ef808764ba68c96afd26bb5323b
Autor:
Thiermann, Ryan, Sandler, Michael, Ahir, Gursharan, Sauls, John T., Schroeder, Jeremy, Brown, Steven, Le Treut, Guillaume, Fangwei Si, Dongyang Li, Wang, Jue D., Suckjoon Jun
Publikováno v:
eLife; 4/18/2024, p1-24, 24p
Publikováno v:
Biochemical Society Transactions. 50:1269-1279
Characterizing the physiological response of bacterial cells to antibiotic treatment is crucial for the design of antibacterial therapies and for understanding the mechanisms of antibiotic resistance. While the effects of antibiotics are commonly cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc6db1b23599afe38bb585fe7965647
https://doi.org/10.1042/bst20210894
https://doi.org/10.1042/bst20210894
Autor:
Ryan Thiermann, Michael Sandler, Gursharan Ahir, John T. Sauls, Jeremy W. Schroeder, Steven D. Brown, Guillaume Le Treut, Fangwei Si, Dongyang Li, Jue D. Wang, Suckjoon Jun
Despite much progress, image processing remains a significant bottleneck for high-throughput analysis of microscopy data. One popular platform for single-cell time-lapse imaging is the mother machine, which enables long-term tracking of microbial cel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14dff2105c12c00a42827dc2c62ff13
https://doi.org/10.1101/2023.03.27.534286
https://doi.org/10.1101/2023.03.27.534286
Publikováno v:
Biochemical Society Transactions; Oct2022, Vol. 50 Issue 5, p1269-1279, 11p
The reference point for cell-size control in the cell cycle is a fundamental biological question. We previously reported that we were unable to reproduce the conclusions of Witz et al.’s eLife paper (Witz, van Nimwegen, and Julou 2019) entitled,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fda08abb1ca2b7707bdb4471be44ee1c
https://doi.org/10.1101/2020.10.06.315820
https://doi.org/10.1101/2020.10.06.315820
Witzet al. recently performed single-cell mother machine experiments to track growth and the replication cycle inE. coli. They analyzed the correlation structure of selected parameters using both their data and published data, and concluded thatE. co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62fa16509565592460f07217d1486231
https://doi.org/10.1101/2020.05.08.084376
https://doi.org/10.1101/2020.05.08.084376
Autor:
Suckjoon Jun, Fangwei Si, Cindy Sou, Omid Azizi, Yonggun Jun, John T. Sauls, Michael Erickstad, Amy B Schwartz, Sarah Cox, Xintian Li, Dongyang Li
Publikováno v:
Current Biology. 27:1278-1287
SummaryIt is generally assumed that the allocation and synthesis of total cellular resources in microorganisms are uniquely determined by the growth conditions. Adaptation to a new physiological state leads to a change in cell size via reallocation o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d8feeaf0badfb793b6739ae79305bc1
https://doi.org/10.1016/j.cub.2017.03.022
https://doi.org/10.1016/j.cub.2017.03.022
Autor:
Jue D. Wang, Dongyang Li, Fangwei Si, John T. Sauls, Guillaume Le Treut, Steven D. Brown, Suckjoon Jun, Jeremy W. Schroeder
The mother machine is a microfluidic device for high-throughput time-lapse imaging of microbes. Here, we present MM3, a complete and modular image analysis pipeline. MM3 turns raw mother machine images, both phase contrast and fluorescence, into a da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef215dbe0dc4d77d57d55f1af0c5b679