BisQue v0.7

This release focused on deploying Two New Modules to the BisQue platform. The work was in conjunction with UC Riverside's Electrical and Computer Engineering Department. We also have updated the NPH prediction module.

We have also updated our documentation which is always an ever growing compilation of BisQue goodness. Fell free to file an issue if there are missing details, extra clarification needed, or an example you feel would be useful to the BisQue community.
Documentation Link: https://ucsb-vrl.github.io/bisqueUCSB/

New Modules

Cell Segmentation 2D

• This module implements watershed segmentation in 2D for cell segmentation of Arabidopsis thaliana. The module takes as input a TIFF image with a z-stack and outputs the segmented image in a TIFF z-stack, respectively.

Enhanced Reconstruction

• This module implements a latent space quantization model that generates an enhanced z-stack given a noisy input of Arabidopsis thaliana. For more details, take a look at the paper Deep Quantized Representation for Enhanced Reconstruction.
  Paper Link: https://vcg.ece.ucr.edu/sites/g/files/rcwecm2661/files/2020-05/ISBI2020_CellEnhancement.pdf

Updated Modules

NPH Prediction

• We have updated this module to output 7 classes and the trained model has been retrained with new data. This work is in conjunction with UC Irvine. There will be more updates to this module in the coming months so stay tuned!