• ZFIQ: (Zebrafish Image Quantitator)

A user-friendly software package that is designed for quantitative Zebrafish image analysis, whose key features include automated cell detection, segmentation, quantification, and phenotype classification.

• NeuronIQ: (Neuron Image Quantitator)

A user-friendly software package that is designed for quantitative Neuron image analysis, whose key features include automated dendrite and spine detection, quantification, and spine phenotype classification.

• NeuriteIQ: (Neurite Image Quantitator)

A user-friendly software package that is designed for quantitative Neurite image analysis, whose key features include automated neurite labeling and quantification of their length and brightness.

• DCellIQ: (Dynamic Cell Image Quantitator)

A user-friendly software package that is designed for quantitative time-lapse nuclei image analysis for cell cycle studies, whose key features include automated nuclei detection, segmentation, quantification, tracking, cell cycle phase identification, and statistical analysis of the cell cycle duration.

• GCellIQ: (Genomic Cell Image Quantitator)

A user-friendly software package that aims to provide an automated pipeline for processing large volumes of digital images generated from high-content screening (HCS), including those by RNAi or small compound screening. It’s suitable for batch processing large image dataset with little human interference.

• AxonTracker:

The software is useful to semi-automatically track and label axon structures from the motor axon connectome datasets. It is a parameter-free software, and hence can be used over a broad range of datasets.