New stable release of DeepTrack2 1.5.6! github.com/softmatterlab/Dee… PyPi 1.5.6 pypi.org/project/deeptrack/1… DeepTrack2 1.5.6 is a patch that fixed an issue with the endothelial_vs dataset and an issue with repeated oneof-features.

New stable release of DeepTrack2 1.5.2! github.com/softmatterlab/Dee… PyPi 1.5.2 pypi.org/project/deeptrack/1… DeepTrack2 1.5.2 is a patch with improvements to attention layers, new datasets to train GNNs and virtual staining NN, and improved Mie optics.

LodeSTART. A new #deeplearning method based on DeepTrack is now published in @NatureComms It detects microscopic objects with sub-pixel accuracy from a single unlabeled image by exploiting roto-translational symmetries

New stable release of DeepTrack2 1.5.1! github.com/softmatterlab/Dee… PyPi 1.5.1 pypi.org/project/deeptrack/1… DeepTrack2 1.5.1 is a patch with some fixes to the Mie scatterers.

DeepTrack2 1.5.0 includes: - a new time-distributed convolutional neural network model (TimeDistributedFullyConvolutional) - multi-input support for continuous generators - several improvements to the Mie physics simulation code - many other not-so-exciting bug fixes 2/2

New stable release of DeepTrack2 1.5.0! github.com/softmatterlab/Dee… PyPi 1.5.0 pypi.org/project/deeptrack/1… DeepTrack2 1.5.0 is a minor release 1/2

There are two breaking changes: 1. The deprecated operator + to chain features has been removed. It is now only possible using the >> operator. 2. The deprecated operator ** to duplicate a feature has been removed. It is now only possible using the ^ operator. 5/5

If you are already using DeepTrack 2.0 (pypi version 0.x.x), updating to DeepTrack 2.1 (pypi version 1.0.0) should be painless, as no change to your code is needed, if you have followed deprecation warnings. 4/5

4. Many new feature classes for arithmetic and statistics. 5. New neural network models, including graph neural networks and various generative networks. 6. Significantly expanded interactions between features. 3/5

The main new functionalities include: 1. Support for GPU-accelerated simulations. 2. State-of-the-art methods for tracking and tracing objects. 3. Flexile and consistent support for physical units. 2/5

DeepTrack 2.0.11.5 is now released (minor changes to align the GitHub and PyPI versions) github.com/softmatterlab/Dee…

DeepTrack 2.0.11.4 is now released fixing several bugs github.com/softmatterlab/Dee…