Houston Methodist. Leading Medicine.
Houston Methodist. Leading Medicine

Software

Bioinformatics Software - Quantitative Image Analysis Tools

 

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 open-source 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.


AFINITI: ( Assisted Follow-up in NeuroImaging of Therapeutic Intervention )


A user-friendly software package for volumetrics measurement of human brain tumor. The key functions are semi-automatic brain tumor segmenation and quantitative tumor grow follow up.