Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ervin Tasnadi"'
Autor:
Krisztian Koos, Gáspár Oláh, Tamas Balassa, Norbert Mihut, Márton Rózsa, Attila Ozsvár, Ervin Tasnadi, Pál Barzó, Nóra Faragó, László Puskás, Gábor Molnár, József Molnár, Gábor Tamás, Peter Horvath
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Patch clamp recording of neurons is slow and labor-intensive. Here the authors present a method for automated deep learning driven label-free image guided patch clamp physiology to perform measurements on hundreds of human and rodent neurons.
Externí odkaz:
https://doaj.org/article/752426adf88042c3b1fc84b42821906d
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1616 (2019)
The volume is one of the most relevant features that define the treatment of an in vivo tumour. When using cancer 3D in vitro models in pre-clinical studies, it becomes important to evaluate the macroscopic effects of drugs and radiotherapy treatment
Externí odkaz:
https://doaj.org/article/6042bde34f9b4cb48c083c5fd8411f3b
Publikováno v:
Molecular Omics. 16:156-164
Glycopeptides represent cross-linked structures between chemically and physically different biomolecules. Mass spectrometric analysis of O-glycopeptides may reveal the identity of the peptide, the composition of the glycan and even the connection bet
Autor:
Angela Serra, Michele Fratello, Antonio Federico, Ravi Ojha, Riccardo Provenzani, Ervin Tasnadi, Luca Cattelani, Giusy del Giudice, Pia A S Kinaret, Laura A Saarimäki, Alisa Pavel, Suvi Kuivanen, Vincenzo Cerullo, Olli Vapalahti, Peter Horvath, Antonio Di Lieto, Jari Yli-Kauhaluoma, Giuseppe Balistreri, Dario Greco
Publikováno v:
Briefings in Bioinformatics
The pharmacological arsenal against the COVID-19 pandemic is largely based on generic anti-inflammatory strategies or poorly scalable solutions. Moreover, as the ongoing vaccination campaign is rolling slower than wished, affordable and effective the
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:
Gábor Tamás, Norbert Mihut, Ervin Tasnadi, Gábor Molnár, Pál Barzó, Jozsef Molnar, László G. Puskás, Gáspár Oláh, Tamas Balassa, Attila Ozsvár, Krisztian Koos, Márton Rózsa, Peter Horvath, Nóra Faragó
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Nature Communications
Nature Communications
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. Here, we demonstrate a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81c537bcd8556bb0ec3079ea0218ca4b
http://hdl.handle.net/10138/329108
http://hdl.handle.net/10138/329108
Autor:
Tamas Balassa, Krisztian Koos, Norbert Mihut, Gábor Tamás, Gáspár Oláh, Gábor Molnár, Peter Horvath, Jozsef Molnar, Attila Ozsvár, László G. Puskás, Pál Barzó, Nóra Faragó, Ervin Tasnadi, Márton Rózsa
Patch clamp recording of neurons is a labor-intensive and time-consuming procedure. We have developed a tool that fully automatically performs electrophysiological recordings in label-free tissue slices. The automation covers the detection of cells i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d26e63c5f29b415c9e4ff46091f820bd
Autor:
Akos Diosdi, Nikita Moshkov, Ervin Tasnadi, Peter Horvath, Tímea Tóth, Tamas Balassa, Antonella Carbonaro, Filippo Piccinini
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1287-1300 (2020)
Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1287-1300 (2020)
Graphical abstract
Today, we are fully immersed into the era of 3D biology. It has been extensively demonstrated that 3D models: (a) better mimic the physiology of human tissues; (b) can effectively replace animal models; (c) often provide more
Today, we are fully immersed into the era of 3D biology. It has been extensively demonstrated that 3D models: (a) better mimic the physiology of human tissues; (b) can effectively replace animal models; (c) often provide more
Autor:
Filippo Piccinini, Maria Kovacs, Tímea Tóth, Peter Horvath, Akos Diosdi, Francesco Pampaloni, Jozsef Molnar, Ervin Tasnadi
SummarySegmentation of single cells in microscopy images is one of the major challenges in computational biology. It is the first step of most bioimage analysis tasks, and essential to create training sets for more advanced deep learning approaches.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49501e19c4a866e31d420488e900a467
https://doi.org/10.1101/677294
https://doi.org/10.1101/677294
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