Zobrazeno 1 - 10
of 421
pro vyhledávání: '"Erik, Olsén"'
Autor:
Benjamin Midtvedt, Jesús Pineda, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Object detection using machine learning universally requires vast amounts of training datasets. Midtvedt et al. proposes a deep-learning method that enables detecting microscopic objects with sub-pixel accuracy from a single unlabeled image by exploi
Externí odkaz:
https://doaj.org/article/725fdbe65ba74b758eb43c1f4b9ab5ae
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-9 (2019)
Label-free, spatio-temporal imaging of cellular physiological responses is challenging. Here the authors combine digital holographic microscopy with a millifluidic chip and mathematical modelling to quantify cell volume, mass and cell uptake under ch
Externí odkaz:
https://doaj.org/article/7beea7bfef8044bd83a66a1ec7e086bb
Publikováno v:
In Metabolic Engineering May 2016 35:31-37
Autor:
Erik, Olsén, Rangsmo Lundvall, Maria
Syftet med denna uppsats är att utveckla kunskaper om vilka idéer om det europeiska medborgarskapet som förmedlas i undervisning om Europeiska unionen. Detta görs genom att studera svenska läroböcker för gymnasieskolans samhällskunska
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-495456
Autor:
Daniel Midtvedt, Erik Olsén, Vladimir P. Zhdanov, Fredrik Höök, Adrián González, Paul Joyce, Silver Jõemetsa
Publikováno v:
Nano Letters
During diffusion of nanoparticles bound to a cellular membrane by ligand–receptor pairs, the distance to the laterally mobile interface is sufficiently short for their motion to depend not only on the membrane-mediated diffusivity of the tethers bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff388d9d124e63442c931dd3ca4f6082
https://doi.org/10.1021/acs.nanolett.1c02092
https://doi.org/10.1021/acs.nanolett.1c02092
Autor:
Benjamin Midtvedt, Jesús D. Pineda Castro, Fredrik Skärberg, Erik Olsén, Harshith Bachimanchi, Emelie V. Wesén, Elin K. Esbjörner, Erik Selander, Fredrik Höök, Daniel Midtvedt, Giovanni Volpe
Publikováno v:
Emerging Topics in Artificial Intelligence (ETAI) 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eadedab9ec5ba4e999650a20c0c1298d
https://doi.org/10.1117/12.2633355
https://doi.org/10.1117/12.2633355
Autor:
Daniel Midtvedt, Erik Olsén, Benjamin Midtvedt, Elin K. Esbjörner, Fredrik Skärberg, Berenice Garcia, Caroline B. Adiels, Fredrik Höök, Giovanni Volpe
Publikováno v:
Emerging Topics in Artificial Intelligence (ETAI) 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84abb8fa1b5bfec1b80ed8dfe8c5df8e
https://doi.org/10.1117/12.2633978
https://doi.org/10.1117/12.2633978
Publikováno v:
Analytical Chemistry
Research in the field of extracellular vesicles is rapidly expanding and finding footholds in many areas of medical science. However, the availability of methodologies to quantify the concentration of membrane material present in a sample remains lim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dc612d2eb6fb2f22eaacfff00d757ff
http://europepmc.org/articles/PMC7735656
http://europepmc.org/articles/PMC7735656
Autor:
Andrew B. Yankovich, Timur Shegai, Erik Olsén, Denis G. Baranov, Battulga Munkhbat, Jorge Cuadra, Eva Olsson, Mathieu Kociak, Hugo Lourenço-Martins, Luiz H. G. Tizei
Publikováno v:
Microscopy and Microanalysis. 26:3182-3184
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a34d761663cdf2ccb9ac1a47a6bc431
https://doi.org/10.1017/s1431927620024095
https://doi.org/10.1017/s1431927620024095
Autor:
Erik Olsén
Publikováno v:
Proceedings of the European Microscopy Congress 2020.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d3d7587ee4f27a9060b10e6b2851c4
https://doi.org/10.22443/rms.emc2020.1408
https://doi.org/10.22443/rms.emc2020.1408