Automated Image Preprocessing and Oocyst Recognition Tool (AI.PORT)

Built by Duo Peng @ the Catteruccia Lab
This tool fully automates preprocessing of microscope images: focusing using z-stack and stitiching, then it performs oocyst recognition using Convolutional Neural Network.

Instructions:
Drag and drop image files into the boxes below. Images dropped in the same box will be used for stack-focusing. Stack-focused images from different boxes will be used for stitching and subsequent oocyst recognition.
Prefix of output files: (Allowed special characters: underscores and hypens)
Region 1    
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
 
Region 2 (optional)   
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
 
Region 3 (optional)   
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
 
Region 4 (optional)   
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
 
Region 5 (optional)   
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
 
Region 6 (optional)   
Drag and drop images here
Images here should be z-stacks of the same region/view
File Size Limit:20M

Supported file formats: jpg, tif, png
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