CRL case study: automated image analysis of lung fibrosis with AI

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

Explore more CRL case studies:

• CRL case study: AI-assisted screening of bone marrow cellularity changes 
• CRL case study: accelerating preclinical analysis with AI
• CRL case study: AI model for DSS-induced colitis