Displaying posts with the tag: is_archive

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