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

Charles River Laboratories pathologists are enhancing image analysis in pre-clinical toxicology, lung studies with Aiforia's AI.
Written by Aiforia

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

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:

lung fibrosis histological features tablelung fibrosis features analysis classes


Automated image analysis of lung fibrosis using Aiforia algorithm

Automated image analysis results

lung fibrosis histological features with respective area
  • 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

Automated image analysis of lung tissue

Lung parenchyma and structural collagen

Automated image analysis of lung parenchyma and collagen

Lung parenchyma and structural collagen

image analysis of lung parenchyma

Lung parenchyma without alveolar space

Automated image analysis of alveolar space

Fibrotic lesion

image analysis of fibrotic lesion

Fibrotic lesion

automated image analysis of fibrotic lesion

Poorly inflated lung tissue and fibrosis

image analysis of poorly inflated lung tissue

Poorly inflated lung tissue and fibrosis

image analysis of fibrosis

Dense collagen within the fibrotic lesion

image analysis of dense collagen with 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
AI model training histological features

 

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