Curious how #AI-powered cross-modality imaging can revolutionize your research?🚀
Our review explores AI’s transformative role in biological imaging, offering strategies, challenges, and practical tips for success!
Discover more: https://t.co/EZAb1pl9lq
Want to apply Deep Learning but don't know where to start? Already familiar but eager to learn more? Our book Deep Learning Crash Course is for you! Pre-order now with a 25% discount: https://t.co/nnAHJ7ar4q. Please retweet!
One of the most read articles published in BPR!
Authored by: Saga Helgadottir, Benjamin Midtvedt, Jesús Pineda, Alan Sabirsh, Caroline B. Adiels, Stefano Romeo, Daniel Midtvedt, and Giovanni Volpe
Learn more 👇
https://t.co/9ag8pgZEkd
Do you want to learn about the AnDi2 challenge?
Join us online for an end-to-end guide on the challenge, the datasets, the metrics and some tips and tricks!
📅 22 / 02 / 2024 - 16h CET
🧑🏫 @gorka_mgm (@uniinnsbruck) + @carlomanzo78 (@uvic_ucc)
🔗 https://t.co/IkSMUyrdqv
🔬🌟Uncover the Potential of Live Cell Imaging in Cancer Therapy🌟🔬
Our recent review discusses the exciting progress made using Live Cell Imaging and its potential impact on future cancer treatments https://t.co/GDyXjdijZf
#CancerResearch#LiveCellImaging
🔬Looking at the erratic motion of a particle immersed in water🌊,
could a machine learn the physical parameters of such stochastic trajectories? 🤯
🚀https://t.co/IYd6seWP68
Amazing team with @carlomanzo78, Maciej Lewenstein, @adauphin4, and @gorka_mgm.
#AI4Physics#AI4Science
Excited to share our News & Views article with @jhalcrow and @JaqamanLab recently published in @NatMachIntell on #MAGIK, a geometric deep learning approach for particle tracking! And yes, graphs are everywhere!
https://t.co/bCokLjoKfp
🤩Thrilled to see our recent article featured in @NatMachIntell "News and Views"!📰
🙏Grateful to the authors for highlighting our work and the potential of combining geometric deep learning with single-particle microscopy.🤖🔬
🔗https://t.co/wFrDGF1nxs
@Jesuspicas@VolpeResearch
An in-depth guide on how to harness the power of #deeplearning techniques to analyze microscopy images and drive discoveries in various fields. A must-read for anyone interested in #microscopy!" #DL#AI https://t.co/2079zWdqP7
A new comprehensive roadmap
on #deeplearning for #microscopy
exploring the possibilities and challenges of the field
with contributions by leading research groups
https://t.co/VJ61Xk98Lo
Edited with Carolina Wählby and
@LeiTian14
Thrilled to announce that we have been awarded an @ERC_Research Proof of Concept Grant for the project "IFLAI: Virtual tissue staining by deep learning"!
Excited to bring the power of @DeepTrackAI to biomedicine 🚀