Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Reka Hollandi"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-2 (2021)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/b039c4c1772b47ad979f6012a82c6201
Autor:
Vilja Pietiäinen, Minttu Polso, Ede Migh, Christian Guckelsberger, Maria Harmati, Akos Diosdi, Laura Turunen, Antti Hassinen, Swapnil Potdar, Annika Koponen, Edina Gyukity Sebestyen, Ferenc Kovacs, Andras Kriston, Reka Hollandi, Katalin Burian, Gabriella Terhes, Adam Visnyovszki, Eszter Fodor, Zsombor Lacza, Anu Kantele, Pekka Kolehmainen, Laura Kakkola, Tomas Strandin, Lev Levanov, Olli Kallioniemi, Lajos Kemeny, Ilkka Julkunen, Olli Vapalahti, Krisztina Buzas, Lassi Paavolainen, Peter Horvath, Jussi Hepojoki
Publikováno v:
medRxiv
Here, we describe a scalable and automated, high-content microscopy -based mini-immunofluorescence assay (mini-IFA) for serological testing i.e., detection of antibodies. Unlike conventional IFA, which often relies on the use of cells infected with t
Autor:
Reka Hollandi, Nikita Moshkov, Lassi Paavolainen, Ervin Tasnadi, Filippo Piccinini, Peter Horvath
Publikováno v:
Trends in Cell Biology
Single nucleus segmentation is a frequent challenge of microscopy image processing, since it is the first step of many quantitative data analysis pipelines. The quality of tracking single cells, extracting features or classifying cellular phenotypes
Autor:
Deborah K. Shoemark, James L. Daly, Maia Kavanagh Williamson, Peter Horvath, David A. Matthews, Lorena Simón-Gracia, Yohei Yamauchi, Carlos Antón-Plágaro, Reka Hollandi, Urs F. Greber, Boris Simonetti, Ari Helenius, Julian A. Hiscox, Tambet Teesalu, Brett M. Collins, Andrew D. Davidson, Richard B. Sessions, Peter J. Cullen, Kai-En Chen, Michael Bauer, Katja Klein
Publikováno v:
Science
Science, 370 (6518)
Daly, J, Simonetti, B, Klein, K, Kavanagh Williamson, M, Anton Plagaro, C, Shoemark, D K, Sessions, R B, Matthews, D A, Davidson, A D, Cullen, P J & Yamauchi, Y 2020, ' Neuropilin-1 is a host factor for SARS-CoV-2 infection ', Science, vol. 370, no. 6518, eabd3072, pp. 861-865 . https://doi.org/10.1126/science.abd3072
Science, 370 (6518)
Daly, J, Simonetti, B, Klein, K, Kavanagh Williamson, M, Anton Plagaro, C, Shoemark, D K, Sessions, R B, Matthews, D A, Davidson, A D, Cullen, P J & Yamauchi, Y 2020, ' Neuropilin-1 is a host factor for SARS-CoV-2 infection ', Science, vol. 370, no. 6518, eabd3072, pp. 861-865 . https://doi.org/10.1126/science.abd3072
Another host factor for SARS-CoV-2 Virus-host interactions determine cellular entry and spreading in tissues. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the earlier SARS-CoV use angiotensin-converting enzyme 2 (ACE2) as a recept
Publikováno v:
Molecular Biology of the Cell
AnnotatorJ combines single-cell identification with deep learning (DL) and manual annotation. Cellular analysis quality depends on accurate and reliable detection and segmentation of cells so that the subsequent steps of analyses, for example, expres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::020caa72fc546c65307fe68f0ba11afa
http://hdl.handle.net/10138/321716
http://hdl.handle.net/10138/321716
Autor:
Urs F. Greber, Ari Helenius, James L. Daly, David A. Matthews, Andrew D. Davidson, Katja Klein, Richard B. Sessions, Michael Bauer, Deborah K. Shoemark, Carlos Antón-Plágaro, Peter Horvath, Maia Kavanagh Williamson, Yohei Yamauchi, Lorena Simón-Gracia, Julian A. Hiscox, Tambet Teesalu, Boris Simonetti, Reka Hollandi, Peter J. Cullen
SARS-CoV-2 is the causative agent of COVID-19, a coronavirus disease that has infected more than 6.6 million people and caused over 390,000 deaths worldwide1,2. The Spike (S) protein of the virus forms projections on the virion surface responsible fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18146149270ba0b9cc85897086148a57
https://doi.org/10.1101/2020.06.05.134114
https://doi.org/10.1101/2020.06.05.134114
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020)
Recent advancements in deep learning have revolutionized the way microscopy images of cells are processed. Deep learning network architectures have a large number of parameters, thus, in order to reach high accuracy, they require a massive amount of
Autor:
Edit Hermesz, Reka Hollandi, Payal Chakraborty, Hajnalka Orvos, Krisztina N. Dugmonits, Szabolcs Zahorán, Gabriella Pankotai-Bodó, Peter Horvath
Publikováno v:
Oxidative Medicine and Cellular Longevity
Oxidative Medicine and Cellular Longevity, Vol 2019 (2019)
Oxidative Medicine and Cellular Longevity, Vol 2019 (2019)
An understanding of the basic pathophysiological mechanisms of neonatal diseases necessitates detailed knowledge about the wide range of complications in the circulating fetal RBCs. Recent publications on adult red blood cells (RBCs) provide evidence
Autor:
Botond Mathe, Abel Szkalisity, Jozsef Molnar, Krisztian Koos, Allen Goodman, Reka Hollandi, Ferenc Kovács, Ede Migh, Tamas Balassa, Mate Gorbe, Csaba Molnar, Maria Kovacs, Ervin Tasnadi, Arpad Balind, Tivadar Danka, Wenyu Wang, Kevin Smith, Istvan Grexa, Anne E. Carpenter, Lassi Paavolainen, Tímea Tóth, Andras Kriston, Norbert Bara, Peter Horvath
Single cell segmentation is typically one of the first and most crucial tasks of image-based cellular analysis. We present a deep learning approach aiming towards a truly general method for localizing nuclei across a diverse range of assays and light
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4eeafc5fc3a1d837b95509c39db9edb
https://doi.org/10.1101/580605
https://doi.org/10.1101/580605
Autor:
Jozsef Molnar, Peter Horvath, Abel Szkalisity, Botond Mathe, Tivadar Danka, Krisztian Koos, Wenyu Wang, Ervin Tasnadi, Lassi Paavolainen, Kevin Smith, Mate Gorbe, Istvan Grexa, Anne E. Carpenter, Juan C. Caicedo, Tímea Tóth, Ferenc Kovács, Csaba Molnar, Norbert Bara, Allen Goodman, Ede Migh, Maria Kovacs, Andras Kriston, Arpad Balind, Reka Hollandi, Tamas Balassa
Publikováno v:
Cell systems
SUMMARY Single-cell segmentation is typically a crucial task of image-based cellular analysis. We present nucleAIzer, a deep-learning approach aiming toward a truly general method for localizing 2D cell nuclei across a diverse range of assays and lig