Our nanoFeatures paper is out on @nanoscale_rsc. Great work of @crisleft_, making super-res analysis of nanoparticles robust and more accessible to non-experts. https://t.co/vqKhgYK1fx
🚀 Excited to share our latest work on how language models can revolutionize the identification of enzymatic binding sites in protein sequences! Check it out here: https://t.co/JjzzxdKSw8
🧬 #LLM#Proteins#Biocatalysis#Enzyme
The preprint on nanoFeatures🔎, the app I developed to characterize nanoparticles from super-resolution microscopy is finally out on BioRxiv!
The standalone application and the Matlab source code are available on our GitHub: https://t.co/vUVaE50kmg
https://t.co/yltyyzDaQL
📢 Open postdoc position on protein representation learning for drug discovery! 📢 Funded by @ERC_Research 🇪🇺
Join our vibrant team @molecularML+@TUeindhoven to push the boundaries of #AI for #drugdiscovery. 💪🏻
Apply before October 31st!👇
https://t.co/FWbFMOGJ9n
Please RT 🙂
Our new paper is out 🚨Find out how you can use qPAINT to evaluate Antibody orientation on nanoparticle surface! 👀Congrats to all authors! @Marrit_Tholen @wth_laura @nolRRB@crisleft_@Fluo_renzo & collaborators!
https://t.co/l50FK5ia3Z
As part of the @neubias Defragmentation School, Group 1, including our colleague Ana, presented the results of their mini-project on bringing bioimaging workflows to the cloud ☁️ 🔬
Analyzing complex #SMLM images of synthetic materials like nanoparticles is crucial for drug delivery advancements. @crisleft_ uses #MachineLearning to assess nanoparticles characterization and classification for diverse applications #SuperResolution 🔬 @NEUBIAS_ Symposium
This afternoon @crisleft_ introduced her app nanoFEATURES to analyse super-resolution data on nanomedicines at @NEUBIAS_ 2023 The app is being further developed but you can already download it from the GitHub: crizloz/nanoFeatures. Stay tuned for updates 👀
Today @arxmanos defended his PhD on Quantification of Nanomaterials with Spectrally-Resolved Super-Resolution Microscopy. Congratulations for this big achievement, and good luck in your next job at ASML! We’ll miss you, Dr.! #N4N@Fluo_renzo @TUeindhoven
Thrilled and honored to receive the @_knaw Early Career Award 2022! 🎉
Huge thanks to all my mentors, my former and present collaborators, my amazing team @molecularML and the great environment @TUeindhoven.
Congrats to my fellow laureates, too!
We are hiring! 1 PostDoc and 1PhD position in our @n4nlab group. Super-resolution microscopy, correlative imaging, nanomaterials, cell biology and signaling... you are welcome to our multidisciplinary group! See links and more details below. (RT appreciated!)
Our recent paper "Exposing the Limitations of Molecular Machine Learning with Activity Cliffs" is now online!
https://t.co/IJkEldRcpe
@korney34@fra_grisoni@molecularML#AI#ML#drugdiscovery#Chemistry
By going to the limits of molecular property prediction ... 👇
We have a postdoc position open! Join us at @TUeindhoven @n4nlab to combine super-resolution imaging, new fluorescent probes and cell biology. RT appreciated :) https://t.co/ltb2vLd9NX
🚨Poster🚨 #NWOBiophysics is still going on. Stijn will be showing the implementation of super-res techniques like DNA-PAINT and spectral-PAINT to resolve & study extracellular vesicles. Visit his poster today to learn more 👇👇