Robert Haase
@haesleinhuepf
#GenerativeAI, LLMs, (Image) Data Analysis, GPUs @Sca_DS / @UniLeipzig, also @NFDI4BioImage, @NEUBIAS_, @GloBIAS_ #openscience, views:mine
20 years ago, we had to learn how to "google" - Today, we need to learn how to "prompt". From prompting to critical use - Join @haesleinhuepf (@Sca_DS @DataWeekLeipzig) for insights, tips & practical examples. Bring your laptop! 🕚June 12th - 11:00-12:30 🗣️In German #DataWeek2025
Train the Trainers in Bioimage Analysis 2025 - RMS DAIM - Crick Partnership 1-day workshop to establish and disseminate guidelines on how to organise courses and train researchers in bioimage analysis franciscrickinstitute.github.io/Train_the_trai… Deadline: 6th May 2025 @TheCrick @RoyalMicroSoc
Build AI-powered code together with other researchers! 👩💻 Excited to announce that @haesleinhuepf has developed Git-bob, a tool that allows researchers to collaborate on writing code with different AI systems. 👉Learn more about the tool: scads.ai/git-bob-ai-cod…
Organizer: - @JosefineUmlauft (ScaDS.AI) - @jannes_munch (@ISTerre_fr) - @martijnende (@Univ_CotedAzur) - Dr. Marius Isken (@GFZ_Potsdam) - @haesleinhuepf () 👉Find out more: scads.ai/event/internat…
The people behind the project @GloBIAS_ share a common vision: To bring together data scientists working in microscopy and share their knowledge. @Sca_DS researcher @haesleinhuepf and his colleagues talk about the goals and tasks of the association: 👉 youtube.com/watch?v=LPJEh9…
Answering the call of @haesleinhuepf, @tischitischer,@petebankhead,@cmci_,@CiminiLab My @FijiSc training notes are now FAIR. All online in an open format to download and use for teaching, training and other things. All in Google Doc or PDF formats bit.ly/4hkfEBF
⭕️Last week @Sca_DS: Together with Universitätsbibliothek Leipzig, @haesleinhuepf organized an online training on research data management with a focus on collaborative working & version control with git[hub] for 30 participants. Find materials here: 👉 zenodo.org/records/146260…
Last week, @Sca_DS researcher @haesleinhuepf and Ronny Gey from @UFZ_de gave a workshop on “Artificial Intelligence in Everyday Research” and shared their knowledge about #LLMs, #PromptEngineering and #GoodScientificPractice. 👉To the training materials: doi.org/10.5281/zenodo…
🚨🔬🤖📜 Paper is out! Introducing the #LiquidEngine and #NanoPyx - novel #AI strategies for accelerating #microscopy that explore how to maximise performance 🚀. Brainchild of @Bruno_MSaraiva, @inesmcunha and @Antonio_DBrito. Faster #SRRF and #eSRRF!! 📰: nature.com/articles/s4159…
And to start 2025 strong… Our work #NanoPyx is out in @naturemethods 😍❤️ DOI: doi.org/10.1038/s41592… #NanoPyx is a Python framework that uses the #LiquidEngine to efficiently accelerate bioimage analysis for any user! (1/n) ⬇️
Haydee Hernández shares her thoughts on reproducibility in bioimage analysis following a working group session @GloBIAS_ 2024. The post covers accountability and standards and how these could be implemented in the research ecosystem. focalplane.biologists.com/2024/11/20/bio…
Are you interested in #LLMs and #BioImageAnalysis? Have a look at the talk "Bio Image Analysis Code Generation" (using LLMs) given by @Sca_DS researcher Robert Haase @haesleinhuepf at the virtual #I2K2024 conference. The recording is now available. 👉 youtu.be/sBcV8rasOWo?si…
Kicking off the OME-NGFF #hackathon 2024 @UZH_en today! 🚀 With funding kindly provided by @NFDI4BIOIMAGE, we are bringing together experts on #OME #Zarr in Python, Java & image analysis workflows. Follow for updates on the future of a #FAIR bioimaging standard.
📅 REMINDER: Make sure to attend the inaugural lecture "From Pixels to Patterns: Machine Learning for Bioimage Analysis" of Prof. Martin Weigert at TU Dresden. It will be well worth it! ▶️ Tuesday, 26.11.2024, 4:40 p.m. ▶️ APB-E023, Nöthnitzer Str. 46, 01187 #Dresden
📅 On 26.11.2024 at 4:40 p.m., we invite you to the inaugural lecture "From Pixels to Patterns: #MachineLearning for Bioimage Analysis" of Prof. Martin Weigert. He is professor for Machine Learning for Spatial Understanding at @tudresden_de & @Sca_DS. 👉 scads.ai/calendar/inaug…
I am honored to receive the 2024 Early Career @Einstein_Berlin Award together with @helenajambor for our project "PixelQuality: Best Practices for Publishing Images": award.einsteinfoundation.de/award-winners-… Thank you to our amazing team @QuarepLimi and my hosts @EuOpenscreen and @LeibnizFMP
A little bit into the python API weeds but here is a 2 part video on how to deal with a tough multiscale segmentation problem with Cellpose: part 1 youtube.com/watch?v=hF9dT3… and part 2 youtube.com/watch?v=UIoXg5…
And it is finally there! The heroic effort by @Lucrezia_CF paid off. It was not always easy but resilience and stamina got us there. Thanks also to our collaborators @carldmodes and @haesleinhuepf for support! Check it out and let us know what you think! biorxiv.org/content/10.110…
🆕 We have updated our preprint in @biorxivpreprint 📰 It explains better the current state of #BiaPy ⛴️ while describing as well its limitations 🤗 Hope you like it! "BiaPy: Accessible deep learning on bioimages" biorxiv.org/content/10.110…
It was an amazing session! Great to have such a vibrant community for exchanging about challenges, opportunities and best practices 🔬🚀
Had a great discussion about validation of new technologies and the role imaging networks can take at @cziscience #imagingthefuture. And great to see @GlobalBioImage, @GloBIAS_, @LatamBioimaging and @BioimagingNA together in one room!
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
Today I got to meet and chat with one of my heroes - @haesleinhuepf! He exemplifies what open source software can and should do for bioimaging research and education. It is fitting that I met him at the @cziscience conference, given CZI is the leader in supporting such efforts 🙌