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The Speciality Pathology Services unit located at the Charles River Laboratories UK site is increasing the speed and accuracy of image analysis in pre-clinical toxicology studies with Aiforia's AI software and services. Veterinary pathologists and scientists at the CRO are harnessing the power of artificial intelligence to automate the analysis of lung fibrosis; producing data at high speed.
Automated image analysis of lung fibrosis
Overview of case study
- Sirius red stained rat lung sections
- AI model trained with 42 images
- AI model includes 7 feature classes:
Automated image analysis results
- Analysis of individual whole-slide images or in batches
- Results per individual image
- Result exported as csv/excel files or via API
- Area, count, percentages, septal thickness
Lung tissue detection
Lung parenchyma and structural collagen
Lung parenchyma and structural collagen
Lung parenchyma without alveolar space
Fibrotic lesion
Fibrotic lesion
Poorly inflated lung tissue and fibrosis
Poorly inflated lung tissue and fibrosis
Dense collagen within the fibrotic lesion
AI model modification and re-training
- Easy to add training data and re-train the AI model
- Possible to modify the AI model classes
- Addition or removal of classes
- Re-arrangement of classes
