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DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.

A small, flexible authorization core for Go, built around subject–action–resource–scope checks.

Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images

vertx-values enhances JSON handling in Vert.x by providing codecs for the immutable JSON objects from the json-values library. It eliminates the need for copying JSON data during transmission over the Event Bus, reducing garbage collection overhead and boosting performance.

  • immutability
  • json
  • json-values
  • persistent-data-structure