Advertisement

Displaying posts with the tag: is_archive

DL4MicEverywhere - Overcoming reproducibility challenges in deep learning microscopy imaging

Posted by , on 29 July 2024

DL4MicEverywhere is out! Learn about it and how you can apply deep learning workflows on microscopy imaging in reproducible research and in a user-friendly manner across different systems.

AI4Life at the 5th NEUBIAS Conference

Posted by , on 26 May 2023

AI4Life recently participated in the 5th NEUBIAS Conference in Porto, Portugal, a two-part event comprising the Defragmentation Training School and the Open Symposium. This conference brought together experts and enthusiasts in the field of BioImage Analysis (BIA) to explore cutting-edge techniques and advancements in the integration of cloud computing. Under the umbrella of AI4Life, there

AI4Life First Open Call

Posted by , on 20 February 2023

The European project AI4Life aims at narrowing the gap between life scientists performing biological imaging and developers of AI-based methods to analyze microscopy image data.  This is the first of a series of annual open calls, meant to provide life scientists who have unmet image analysis needs with adequate deep learning enhanced workflows for their

TrackMate-Oneat: Auto Track correction using deep learning networks

Posted by , on 4 July 2022

During the tracking of motile cells, solving the problem of linking objects between two consecutive timepoints becomes even more complicated, if the cells divide or undergo cell death. In the terms of trajectories, this means the addition of trajectory branches and terminations. However, dividing and dying cells are characteristic in their shape, and leveraging this

Janelia+EMBL BioImaging Seminar Series: How We Started a Successful Seminar Series during the Pandemic

Posted by , on 25 January 2022

How we started a global BioImaging seminar series in the middle of a global pandemic...

DeepImageJ: Deep learning in bioimage analysis for dummies

Posted by , on 2 December 2021

Written by Estibaliz Gómez-de-Mariscal, Cristina de-la-Torre-Gutiérrez, Arrate Muñoz-Barrutia, and Daniel Sage Do you invest significant time looking for tools to analyze your microscopy images? Probably you have already heard about the extraordinary capabilities of deep learning (DL) to reveal complex visual structures in images. If you are a biologist practicing daily ImageJ, you may look

The story behind ZeroCostDL4Mic, or How to get started with using Deep Learning for your microscopy data

Posted by , on 18 January 2021

We all hear again and again about Deep Learning (DL), how great it is, how it’s going to revolutionise science, engineering, medicine and work. But where and how is this all happening? If you wonder how you could get started on thinking, let alone using DL on your microscopy data, look no further, we have