BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN BEGIN:VEVENT UID:538@biocityturku.fi DTSTART;TZID=Europe/Helsinki:20240404T120000 DTEND;TZID=Europe/Helsinki:20240404T130000 DTSTAMP:20240311T091428Z URL:https://biocityturku.fi/events/frontiers-of-science-prof-ricardo-henri ques/ SUMMARY:Frontiers of Science: Prof. Ricardo Henriques DESCRIPTION:April 4th at 12:00\nOn-site event\nPresidentti auditorium\, Bio City\nSpring 2024 program\n\nProf. Ricardo Henriques\, Instituto Gulbenkia n de Ciência\, Portugal\nOpen Super-Resolution and AI technologies in the quest for nanoscale live-cell imaging\nHost: Guillaume Jaquemet (guillaum e.jaquemet@abo.fi)\n\nCoffee and sandwich at 11:45\, first come first serv ed!\n\n \;\n\nSix PhD researchers and early-career postdocs are welcom e to have a lunch in restaurant Mauno and discuss with Prof. Henriques aft er the seminar. This is a great possibility to learn hosting skills in fri endly environment and create connections for future. Everyone is welcome t o join\, BioCity Turku will offer the lunch.\n\nIf you got interested\, pl ease send an email to biocityturku@bioscience.fi\n\n \;\n\nThe combina tion of computational analysis and microscopy has transformed biological r esearch\, providing a powerful tool for quantitatively examining cellular processes. Advanced microscopy techniques\, particularly those that rely o n single-molecule localization for super-resolution imaging\, require soph isticated analytical algorithms to interpret the vast amounts of data they generate. Our team\, in collaboration with colleagues\, has pioneered ope n-source frameworks that merge AI-based computational approaches and optic al methodologies\, specifically designed to enhance live-cell and super-re solution microscopy. These frameworks enable the high-performance acquisit ion of high-resolution quantitative data from biological specimens. In thi s presentation\, I will showcase some of these advancements\, including ou r platforms ZeroCostDL4Mic and DL4MicEverywhere\, which make it easy for r esearchers to apply Deep Learning (DL) to the analysis of biological micro scopy images\, regardless of their coding skills. These platforms enable r esearchers to use cutting-edge DL techniques for tasks such as segmentatio n\, object detection\, denoising\, and super-resolution reconstruction. We will illustrate the practical application of these open technologies thro ugh their use in investigating a range of biological phenomena\, including the workings of eukaryotic and prokaryotic cells\, as well as the analysi s of single-molecule localization microscopy data. Through these demonstra tions\, we will explore how these technological advancements are not only pushing the boundaries of biological imaging but also empowering researche rs to uncover new insights into the fundamental mechanisms of life.\n\n&nb sp\;\n\nSelected publications\n\nLaine RF\, Heil HS\, Coelho S\, Nixon-Abe ll J\, Jimenez A\, Wiesner T\, Martínez D\, Galgani T\, Régnier L\, Stub b A\, Follain G\, Webster S\, Goyette J\, Dauphin A\, Salles A\, Culley S\ , Jacquemet G\, Hajj B\, Leterrier C\, Henriques R. 2023. High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation. Nat Methods. 2023 Dec\;20(12):1949-1956. doi: 10.1038/s41592- 023-02057-w\n\nSpahn C\, Gómez-de-Mariscal E\, Laine RF\, Pereira PM\, vo n Chamier L\, Conduit M\, Pinho MG\, Jacquemet G\, Holden S\, Heilemann M\ , Henriques R. 2022. DeepBacs for multi-task bacterial image analysis usin g open-source deep learning approaches. Commun Biol. 2022 Jul 9\;5(1):688. doi: 10.1038/s42003-022-03634-z\n\nvon Chamier L\, Laine RF\, Jukkala J\, Spahn C\, Krentzel D\, Nehme E\, Lerche M\, Hernández-Pérez S\, Mattila PK\, Karinou E\, Holden S\, Solak AC\, Krull A\, Buchholz TO\, Jones ML\, Royer LA\, Leterrier C\, Shechtman Y\, Jug F\, Heilemann M\, Jacquemet G\ , Henriques R. 2021. Democratising deep learning for microscopy with ZeroC ostDL4Mic. Nat Commun. 2021 Apr 15\;12(1):2276. doi: 10.1038/s41467-021-22 518-0\n\nSpark A\, Kitching A\, Esteban-Ferrer D\, Handa A\, Carr AR\, Nee dham LM\, Ponjavic A\, Santos AM\, McColl J\, Leterrier C\, Davis SJ\, Hen riques R\, Lee SF. 2020. vLUME: 3D virtual reality for single-molecule loc alization microscopy. Nat Methods. 2020 Nov\;17(11):1097-1099. doi: 10.103 8/s41592-020-0962-1\n\n \;\n\nGeneral information\n\n You can downloa d and save all the spring 2024 FoS-seminars to your calendar from here: ht tps://seafile.utu.fi/d/44a70f80ac1e46a9ad0a/\n Registration is not needed \, participation list is circulated in the audience\n If you are a studen t and later wish to get a certificate of attendance from the Frontier of S cience seminars\, print out the seminar diary and after the seminar ask th e BioCity coordinator to sign it https://seafile.utu.fi/d/44a70f80ac1e46a9 ad0a/\n Please note that any audio or video recording of the seminars is strictly forbidden.\n Spring 2024 FoS image credits to Jenny Pessa: Trans formed human breast epithelial HS578T cells (flattened)\, labelled with co mmercial fluorescent antibodies. Image acquired on 3i CSU-W1 Spinning disk with 40x objective.\n\n \;\n\n \;\n\n \; ATTACH;FMTTYPE=image/jpeg:https://biocityturku.fi/wp-content/uploads/henri ques-400.jpg CATEGORIES:Frontiers of Science END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Helsinki X-LIC-LOCATION:Europe/Helsinki BEGIN:DAYLIGHT DTSTART:20240331T040000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR