Constriction Rate Modulation Can Drive Cell Size Control and Homeostasis in C. crescentus

Autor: Ambroise Lambert, Aster Vanhecke, Anna Archetti, Seamus Holden, Felix Schaber, Zachary Pincus, Michael T. Laub, Erin Goley, Suliana Manley

Publikováno v: iScience, Vol 4, Iss , Pp 180-189 (2018)

Summary: Rod-shaped bacteria typically grow first via sporadic and dispersed elongation along their lateral walls and then via a combination of zonal elongation and constriction at the division site to form the poles of daughter cells. Although const

Externí odkaz: https://doaj.org/article/33bd07e9800c4bbdb90ec9090e9aa814

Functional dichotomy and distinct nanoscale assemblies of a cell cycle-controlled bipolar zinc-finger regulator

Autor: Johann Mignolet, Seamus Holden, Matthieu Bergé, Gaël Panis, Ezgi Eroglu, Laurence Théraulaz, Suliana Manley, Patrick H Viollier

Publikováno v: eLife, Vol 5 (2016)

Protein polarization underlies differentiation in metazoans and in bacteria. How symmetric polarization can instate functional asymmetry remains elusive. Here, we show by super-resolution photo-activated localization microscopy and edgetic mutations

Externí odkaz: https://doaj.org/article/58ab615cd5e24bff96ad72920826197e

Democratising deep learning for microscopy with ZeroCostDL4Mic

Autor: Pieta K. Mattila, Lucas von Chamier, Yoav Shechtman, Elias Nehme, Guillaume Jacquemet, Johanna Jukkala, Alexander Krull, Daniel Krentzel, Loic Royer, Tim-Oliver Buchholz, Mike Heilemann, Christophe Leterrier, Martina Lerche, Romain F. Laine, Ricardo Henriques, Florian Jug, Sara Hernández-Pérez, Martin L. Jones, Eleni Karinou, Ahmet Can Solak, Christoph Spahn, Seamus Holden

Publikováno v: Nature Communications
Nature Communications, Nature Publishing Group, 2021, 12, ⟨10.1038/s41467-021-22518-0⟩
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Nature Communications, 2021, 12, ⟨10.1038/s41467-021-22518-0⟩

Deep Learning (DL) methods are powerful analytical tools for microscopy and can outperform conventional image processing pipelines. Despite the enthusiasm and innovations fuelled by DL technology, the need to access powerful and compatible resources

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::020f134a7f24e39c4432fd2895e9d76b
https://hal-amu.archives-ouvertes.fr/hal-03233449/document

FtsZ treadmilling is essential for Z-ring condensation and septal constriction initiation in Bacillus subtilis cell division

Autor: Eleni Karinou, Seamus Holden, Calum Jukes, Ricardo Henriques, Pedro Almada, Cees Dekker, Nicholas Tregidgo, Kevin D. Whitley

Despite the central role of division in bacterial physiology, how division proteins work together as a nanoscale machine to divide the cell remains poorly understood. Cell division by cell wall synthesis proteins is guided by the cytoskeleton protein

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::560ca2e502d7c3af96efe4a8a46a76d7
https://doi.org/10.1101/2020.07.01.182006

ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy

Autor: Elias Nehme, Martina Lerche, Guillaume Jacquemet, Mike Heilemann, Martin L. Jones, Eleni Karinou, Sara Hernández-Pérez, Alexander Krull, Yoav Shechtman, Chamier Lv, Ricardo Henriques, Florian Jug, Tim-Oliver Buchholz, Daniel Krentzel, Loic Royer, Christophe Leterrier, Christoph Spahn, Pieta K. Mattila, Johanna Jukkala, Seamus Holden, Romain F. Laine, Ahmet Can Solak

The resources and expertise needed to use Deep Learning (DL) in bioimaging remain significant barriers for most laboratories. We present https://github.com/HenriquesLab/ZeroCostDL4Mic/wiki, a platform simplifying access to DL by exploiting the free,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::60d0b376059d439c3d86fbf2e943d6e8
https://doi.org/10.1101/2020.03.20.000133