Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Daniel Krentzel"'
Autor:
Céline Cuche, Marta Mastrogiovanni, Marie Juzans, Hélène Laude, Marie-Noëlle Ungeheuer, Daniel Krentzel, Maria Isabella Gariboldi, Daniel Scott-Algara, Marianne Madec, Sophie Goyard, Camille Floch, Gaëlle Chauveau-Le Friec, Pierre Lafaye, Charlotte Renaudat, Muriel Le Bidan, Christine Micallef, Sandrine Schmutz, Sébastien Mella, Sophie Novault, Milena Hasan, Darragh Duffy, Vincenzo Di Bartolo, Andrés Alcover
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
Familial adenomatous polyposis (FAP) is an inherited disease characterized by the development of large number of colorectal adenomas with high risk of evolving into colorectal tumors. Mutations of the Adenomatous polyposis coli (APC) gene is often at
Externí odkaz:
https://doaj.org/article/3d031f5705674dfaaab0bea71c6c7ba6
Autor:
Lucas von Chamier, Romain F. Laine, Johanna Jukkala, Christoph Spahn, Daniel Krentzel, Elias Nehme, Martina Lerche, Sara Hernández-Pérez, Pieta K. Mattila, Eleni Karinou, Séamus Holden, Ahmet Can Solak, Alexander Krull, Tim-Oliver Buchholz, Martin L. Jones, Loïc A. Royer, Christophe Leterrier, Yoav Shechtman, Florian Jug, Mike Heilemann, Guillaume Jacquemet, Ricardo Henriques
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Deep learning methods show great promise for the analysis of microscopy images but there is currently an accessibility barrier to many users. Here the authors report a convenient entry-level deep learning platform that can be used at no cost: ZeroCos
Externí odkaz:
https://doaj.org/article/71c9afaf6b9849e787693c838589c312
Autor:
Abhishek Kumar Ghosh, Sonny F. Burniston, Daniel Krentzel, Abhishek Roy, Adil Shoaib Sheikh, Talha Siddiq, Paula Mai Phuong Trinh, Marta Mambrilla Velazquez, Hei-Ting Vielle, Niamh C. Nowlan, Ravi Vaidyanathan
Publikováno v:
Sensors, Vol 20, Iss 21, p 6020 (2020)
Fetal movements (FM) are an important factor in the assessment of fetal health. However, there is currently no reliable way to monitor FM outside clinical environs. While extensive research has been carried out using accelerometer-based systems to mo
Externí odkaz:
https://doaj.org/article/6750e2032b5f4fd783bde30f881a7988
Autor:
Daniel Krentzel, Matouš Elphick, Marie-Charlotte Domart, Christopher J. Peddie, Romain F. Laine, Ricardo Henriques, Lucy M. Collinson, Martin L. Jones
Correlative light and volume electron microscopy (vCLEM) is a powerful imaging technique that enables visualisation of fluorescently labelled proteins within their ultrastructural context on a subcellular level. Currently, expert microscopists find t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c05b56c493780180fe905f5d2f51719
https://doi.org/10.1101/2023.05.11.540445
https://doi.org/10.1101/2023.05.11.540445
Publikováno v:
Trends in Cell Biology
Trends in Cell Biology, In press, ⟨10.1016/j.tcb.2022.11.011⟩
Trends in Cell Biology, In press, ⟨10.1016/j.tcb.2022.11.011⟩
International audience; Modern drug discovery approaches often use high-content imaging to systematically study the effect on cells of large libraries of chemical compounds. By automatically screening thousands or millions of images to identify speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8a39b9577afe2ca97a4c84183a7f2ee
https://hal-pasteur.archives-ouvertes.fr/pasteur-03932169
https://hal-pasteur.archives-ouvertes.fr/pasteur-03932169
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⟩
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
https://hal-amu.archives-ouvertes.fr/hal-03233449/document
Autor:
Niamh C. Nowlan, Marta Mambrilla Velazquez, Paula Mai Phuong Trinh, Adil Shoaib Sheikh, Daniel Krentzel, Talha Siddiq, Hei-Ting Vielle, Abhishek Kumar Ghosh, Sonny F. Burniston, Abhishek Roy, Ravi Vaidyanathan
Publikováno v:
Sensors, Vol 20, Iss 6020, p 6020 (2020)
Sensors
Volume 20
Issue 21
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 21
Sensors (Basel, Switzerland)
Fetal movements (FM) are an important factor in the assessment of fetal health. However, there is currently no reliable way to monitor FM outside clinical environs. While extensive research has been carried out using accelerometer-based systems to mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5c2cde6a2d5a56f4be5fbe64c5ef7f7
https://www.mdpi.com/1424-8220/20/21/6020
https://www.mdpi.com/1424-8220/20/21/6020
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
https://doi.org/10.1101/2020.03.20.000133