Marvin Albert
@_malberto
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Bioimage analysis and computing at Institut Pasteur. Previously at EMBL Heidelberg and UZH Zurich.
Paris
Joined January 2014
3D embryo averaging for movie fans! #zebrafish #lightsheet #multiview #imageregistration #UZH #EMBL
#SwissScienceImage Description: https://t.co/D0TFGO3I8B
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Ayuda con la difusión! Buscamos personas interesadas en hacer un doctorado CONICET en un proyecto interdisciplinario, desarollando microscopios ópticos para adquirir imágenes neuronales en animales vivos. Más info del proyecto en el flyer y el hilo abajo... @leloir
HIGH-RESOLUTION IN VIVO BRAIN IMAGING OF DROSOPHILA 🪰 New Preprint by Tassara et al.! https://t.co/96rfomybLr
#FluorescenceMonday #SnoutClub 1/6
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Tomorrow is the last day!!! If you see this on Tuesday the 10th — TODAY!!! 🚨 If you see this after the 10th… you missed out… 😜
Life scientists! The 3rd (and last) AI4Life Open Call is officially open! 🎉 We are offering deep learning support for bioimage analysis. Apply now! 🔗 https://t.co/IVdVzik01N ⏳ Deadline: December 10, 2024 @REA_research #AI #Bioimaging #Imaging #ImageAnalysis #DeepLearning
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I'm presenting a poster at @cziscience Imaging The Future on the Three Gears of BioScience Projects. I will discuss how #imaging, analysis and modelling synergize and are fueled by clearly defined questions, and also how far should support go. 10.6084/m9.figshare.27725865
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Bioimage analysts have a huge impact on modern biology research and can enable so much more when appropriately resourced. Read our piece and maybe also casually drop it on the desk of your PI/Head of Department/Dean/rich uncle!
New from me and a huge cast of amazing bioimage analysts in @J_Cell_Sci - - "The crucial role of bioimage analysts in scientific research and publication" https://t.co/wFrTQ1fPOH . Hop into 🧵to learn more! (1/x)
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Amazing, @StRigaud is demonstrating multi-GPU support🎉 using #pyclesperanto(without _prototype) for #BioImageAnalysis at #I2K2024(virtual)!🔬🖥️🚀 The notebook is available online #openaccess
https://t.co/fpUimUA204
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If you didn't yet have enough good reasons to share your bioimage data, Matthew (@BioimageA), Josh (@notjustmoore), Erin (@tuesdaystitches), Assaf (@AssafZaritsky) and I are here with squirrel drawings to convince you that you should do it: https://t.co/CEAjC8qFwo
journals.biologists.com
Summary: A proposal for actions needed to consolidate the development of an inclusive and open culture of data sharing in bioimaging and a highlight of the promising outlook of multidisciplinary...
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OME-Zarr: "Even a talk on formats [can be] interesting" @notjustmoore @PavelTomancak #I2K2024 #BioImageAnalysis
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Ahhh this felt amazing!! 🤩 Super happy to have given a selected talk at this AWESOME conference #I2K2024 ♥️♥️ Thanks to everyone for the amazing discussions!! ☺️
@inesmcunha gave a freaking amazing talk at #i2k2024 😍. Lots of unexpected cool data! Cannot discuss the preliminary stuff, but perhaps it can be said that robots are great at predicting the future from minimal data. Also, kudos for cool 🦖 reference
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We @biif_sweden had great fun teaming up with Frederic Ballllosera Navarro from Emma Lundberg's lab for an #i2k workshop! We discussed tools and approaches for #multiplex image data, and showed #PIPEX #TissUUmaps #spatialdata!
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2. Marie Anselmet could not join due to admin reasons, but @StRigaud kindly volunteered to put her poster> In it we relate our WIP towards #TrackMate v8. This is a forthcoming new major version geared towards applications in microbiology.
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multiview-stitcher: A python toolbox for registering / fusing / stitching large multi-view / multi-positioning image datasets in 2-3D. https://t.co/GxU1wqfahA
https://t.co/2aoJvW2cQb Poster 129 Session 2 on Thursday 24/10 at 2pm
github.com
A toolbox for registering / fusing / stitching large multi-view / multi-positioning image datasets in 2-3D. - multiview-stitcher/multiview-stitcher
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1. Marvin Albert @_malberto will present *multi-view stitcher*, a Python framework for registration, stitching and fusion of multi-tiles, multi-view images.
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@gaLLetort @MinSonPhan @DevStem_Pasteur 5. Stéphane Rigaud @StRigaud and @haesleinhuepf will animate a workshop on #clEsperanto. CLE is a GPU-accelerated image processing library, that aims at offering lightning fast image processing with all GPU on all major OSes,
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@gaLLetort 4. Minh-Son Phan @MinSonPhan will present his recent work just published on the cell fate specification via lateral inhibition in Schweisguth’s lab of the @DevStem_Pasteur He spoke about it last week here: https://t.co/4rQvnNVAHf .
1/ I am delighted to share our work about cell fate specification via lateral inhibition in Schweisguth’s lab of the @DevStem_Pasteur. Enormous thanks to all involved colleagues JangMi Kim, Cara Piccioto, Lydie Couturier, Khallil Mazouni, @NishaVeits A thread 👇
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@gaLLetort The 2nd tool on @gaLLetort's poster is #EPICURE, a #napari tool for accelerate and facilitate manual and automatic tracking cells in epithelial tissues:
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3. Gaëlle Letort @gaLLetort has a poster showcasing two tools for developmental biology. The first one is #DeXtrusion, an AI tool built for the automated detection of rare events in time-lapse. Published here https://t.co/Ln2MGLOEZL code here https://t.co/q4kfZnj4gc
gitlab.pasteur.fr
Automatic detection of epithelial cell events as cell extrusion
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Great opportunity to join Turku BioImaging (Finland) image data team as an image data analyst. Team is great, work is fun and as a plus I'm located in the same corridor 😅 Join our great imaging family in Turku!
🚀Join Turku BioImaging as an Image Data Analyst🖥️to support cross-disciplinary image analysis projects in our team. If you love coding and are interested in working at the crossroads of computer science and biology, apply by🗓️November 4, 2024🔗 https://t.co/JGbzFawdeO
#jobopening
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🎉 Huge success at the "Intro to BioImage Analysis with Python for Life Scientists" course! Thanks to @EuroBioImaging, @eRImote_EU, @jytinevez, @camachodejay, and @gabymartins for making it happen! Inspiring to see #BioImageAnalysis community thriving! #AI4Life #PPBI #Python
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Let's go for Day 2 of the @eRImote_EU @EuroBioImaging distributed python course! Today's lesson on image segmentation and feature extraction is by @Fr_BioImaging with @_malberto and Marie Anselmet 💻 Hosted in Lisbon by the @GIMM_Institute Oeiras node.
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