HMS Image Analysis Collaboratory
@HMS_IAC
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News from the Image Analysis Collaboratory at Harvard Medical School. Teaching, researching and promoting best practices in Bioimage Analysis.
Boston, MA
Joined January 2024
💻 Apply to our beginner-friendly Boston Bioimage Analysis Course!. Get started with Python and learn to analyze fluorescence microscopy images—no coding experience required!. Fee waivers available thanks to funding from @BioimagingNA!. 🗓️ Apply June 1st!.
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‼️3 days left to apply to the Boston Bioimage Analysis Course (BoBiAC)! 💻. Get started w/Python & learn to perform segmentation, classification & colocalization on fluorescence microscopy images — no programming experience required!. 🗓️ Apply by June 1st!.
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‼BREAKING‼.New funding secured for the Boston Bioimage Analysis Course (BoBiAC) this July at @harvardmed. Fees down 37%, with waivers for academic applicants, for an intensive hands-on intro to bioimage analysis with Python!. Apply by June 1st!.
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RT @focalplane_jcs: Are you looking to boost your bioimage analysis skills? If so, check out the Boston Bioimage Analysis Course run by @HM….
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Announcing the Boston Bioimage Analysis Course — BoBiAC! Join us this July at @harvardmed in Boston for a 6-day deep dive into bioimage analysis with Python, hosted by @HMS_IAC and @cite_at_hms. Apply by May 16th 2025!
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Our QuPath course is back! .Join us this semester to learn QuPath with a combination of lectures and hands-on exercises inspired by real research collaborations we worked on. 📌 Introduction to Bioimage Analysis using QuPath .📆 Date: Feb 10, 2025 .🔗
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Join us for our first workshops of 2025!. 📌 Image analysis with ImageJ/Fiji.📆 Date: Jan 22 & 24, 2025.🔗 📌 ImageJ/Fiji's macro language.📆 Date: Jan 28, 2025.🔗 📍 Location: @harvardmed campus.Open to all—don't miss out!
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Eager to learn how to train your own deep learning models for image segmentation? We got you covered! . We are organizing a new workshop "Build Your Own Image Segmentation Pipeline in Python" on December 9th 2024 in-person @harvardmed. Apply here:
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RT @SimonFlyvbjerg: @RuzAntoine here in Milan at #I2K talking about our collaboration with @nina_k0zlova and @tarumurmur. #BioImagAnalysis….
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We're excited to kick off this semester with the 2nd edition of our QuPath workshop, in-person at @harvardmed on Sept. 16th, led by @RuzAntoine. Join us to learn how to analyze whole-slide fluorescence microscopy images using QuPath. More information: .
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Interested in learning how our bioimage analysis group runs? Want to spend some time in lively Boston @harvardmed? . We're part of the @GlobalBioImage international job shadowing program. Read more below.
🎙 We are excited to launch an open call for applications to participate in our international job shadowing program! . Open to imaging core facility staff and researchers who provide imaging services. For more info & to apply:. Travel grants are available
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RT @JenCWaters: 🔬 Love microscopy? We’re hiring a postdoc for our Advanced Microscopy Fellows Program @harvardmed. Explore advanced techniq….
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RT @JenCWaters: Our first virtual Microtutor course is now open for enrollment! @GlobalBioImage
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The workshop has started! Great day ahead with Dominik from @ilastik_team.
We will be hosting Dominik Kutra from @ilastik_team for a one-day workshop about machine-learning-based image analysis with ilastik. In-person only on @harvardmed Longwood campus. Apply before Friday, June 3rd to secure your spot. More information:
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We will be hosting Dominik Kutra from @ilastik_team for a one-day workshop about machine-learning-based image analysis with ilastik. In-person only on @harvardmed Longwood campus. Apply before Friday, June 3rd to secure your spot. More information:
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Are you struggling with your bioimage analysis? Curious to learn best practices? Looking to learn Fiji or QuPath? . Say no more! This May, we're organizing two in-person workshops at @harvardmed. More information: w/ friends from @NikonImagingHMS (CITE).
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Join us next Monday 10 AM EDT for a Bioimage Analysis Seminar! Jeremy Muhlich (Laboratory of Systems Pharmacology) will talk about image processing and data sharing for whole-slide imaging and spatial profiling of tissues and tumors. More information:
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