Romain F. Laine
@LaineBioImaging
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Microscopist, biophysicist, data scientist @abbelight previously @MRC_LMCB / @TheCrick, #DeepLearning, #microscopy. Views my own. He/Him
London, England
Joined June 2018
🔬🔬I am super happy to announce that my next adventure is with the fantastic team of @abbelight as a lead in data science and AI ! 🔬🔬 Very excited to push the forefront of SMLM! And thanks to @CaorsiV and @micro_adrien for the fun brainstorming week #1
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Thank you @LaineBioImaging for this nice article covering our dynamic imaging work!
nature.com
Nature Methods - A new deep learning approach enables motion correction across sequential acquisitions, even if each image in the sequence was acquired differently.
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We’re excited to be at SMLMS and eager to connect with you! We’ll be at Booth #6 until 12:00 on 30 August 2024. Don’t miss the chance to take your research to the next level with Abbelight. #SMLMS2024 #SMLM #Nanotechnology #Innovation #AdvancedImaging #LifeSciences
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Poster session finished with many great discussions! But no worries, if there's more questions about three color demixing, optimised and automated, don't hesitate to approach @LaineBioImaging or me! @abbelight @SMLM_Symposium #SMLMS2024
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At #SMLMS2024 we're now hearing from @miCHRIScopy presenting his awesome work on understanding chromosome organisation in bacteria using SMLM!
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Image credits to many many people from @abbelight ! @FriedlKaroline and many others
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Excited to travel to Lisbon today to attend #SMLMS24 ! Come and see our poster P58 tomorrow, Wednesday 28th, to know about quantitative and automated spectral demixing for simultaneous multicolor SMLM!
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I am always amazed by the complexity but structured Actin network imaged at nanoscale using #SMLM. This one is 130x130 um² FOV size thanks to @abbelight ASTER technology.
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Don't forget to register for ELMI2024 workshops! Image: PAINT with PotomacRed targeting the bacterial membrane in E. coli. Number of cells detected = 589 Credits: Dr İpek Altinoglu-Bonnet Wish to test your own samples on our platform? Contact us at: applications@abbelight.com.
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2 weeks left to apply for a PhD position in my lab! Still looking for applicants with experince/strong interest in (super-resolution) microscopy and microbiology 🦠🔬
🚨 Job Alert - 2 PhD positions🚨 Are you interested in how bacteria work and how they are affected by antibiotics? 🦠💊 Do you like using fancy microscopes and pushing the resolution boundary? 🔬🔍 Then join my group @RVZ_Wuerzburg @Uni_WUE for your PhD! https://t.co/5roD5mVgwP
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We are looking for a light microscopy specialist to support the Advanced Light Microscopy Facility (ALMF) @embl in Heidelberg. https://t.co/jbODEO3q3B
@GerBI_GMB @BioImagingUK @EuLiMI1 @DBioimaging @EuroBioImaging @Fr_BioImaging @GlobalBioImage
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The labs of Christophe Zimmer @ImodLab and myself are looking for a technical assistant to join us full time at the @RVZ_Wuerzburg @Uni_WUE! Contact us if you want to help us decipher microbes and find antibiotics! More information can be found here:
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Job alert! I am looking to recruit a bioimage analyst to work with us the Image Analysis Hub core facility of the @institutpasteur It is a full time, permanent position as a research engineer, working onsite. Some details and links below ⬇️ Please forward to your networks!
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🚨 JOB CALL!!! 🚨 If you’re interested in neuronal cell biology, come and work with us to use custom imaging and omics tools to study organelle contact sites in neurons. Please RT friends‼️ Open calls for a @wellcometrust funded Post doc and RA position listed below…
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🥳Finally out in the press! 🥳 CAFI: Content-aware frame interpolation! Obtain complex cellular dynamics using neural networks. It still shocks me that it works ! Amazing work from @MartinP190889 and collaborators. https://t.co/Xr9xUMrMCu Old thread! https://t.co/irEu8bPJ6o
1/21 We’re proud to present a new Deep Learning approach for Content-Aware Frame Interpolation (CAFI). Ever wanted to increase the frame rate of your images using Deep Learning? CAFI might be the right tool for you. It’s CAFI time! https://t.co/RAM98HU1gr
https://t.co/GUdnyNJsH0
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Out today from @LaineBioImaging and @MartinP190889, Content-aware frame interpolation (CAFI) improves the temporal resolution in time-lapse imaging by accurately predicting images in between image pairs, enabling gentler live-cell imaging. https://t.co/AD2BNqiPbA
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👏👏👏 Congratulations to Dr Martin Priessner (@MartinP190889) & Prof Ramon Vilar (@vilar_group) from @impchemistry, and Dr Romain Laine (@LaineBioImaging) from @ucl
Researchers from @impchemistry and @ucl are improving cell imaging with #NeuralNetworks 🤖🔍 🦠 Their new study in @naturemethods captures rapid cellular events with half the frames and minimal damage to live cells 👇 https://t.co/LDsxStAiR8
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