AI powered image analysis

Aiforia use cases by application

Over 400 different AI models have been created with Aiforia Create so far, for a multitude of image types (IF, WSI, etc.) and a huge range of therapy areas, research fields, and industrial applications!

Explore some of these examples below!



Use of AI for image analysis and astrocyte detection in Parkinson’s Disease research.

Read the case study.

Astrocytes_before Astrocytes_after

TH+ neurons

AI models for the identification and quantification of dopaminergic cells (TH+) in the substantia nigra pars compacta (SNc).

Read the case study.

TH+ cells before TH+ cells after

Iron deposits

Measuring the quantity and distribution of iron deposits in grey and white matter in Alzheimer's disease studies at Massachusetts General Hospital.

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Iron detection before Iron detection after


Quantifying astrocyte reactivity in preclinical neurotoxicity studies at Orion pharmaceutical company. 

Read the case study.


Astrocyte before AI detection Astrocyte after AI detection


Quantitative assessment of alpha-synuclein pathology in preclinical Parkinson's disease studies at Lundbeck pharmaceutical company.

Read the case study. 

AlphaSynuclein before AI detection AlphaSynuclein after AI detection


Automated neuron quantification for preclinical Parkinson's disease studies at Sanofi.

Read the case study.

Neuron quantification before AI detection Neuron quantification after AI detection

Nigra area

Automated nigra area detection.

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Nigra before AI detection Nigra after AI detection

Multichannel IF

Multichannel Immunofluoresence: somatic and nuclear detection.

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Multichannel IF before AI detection Multichannel IF after AI detection


Classification of nerve components, such as myelin, axon, and nerve fibre.

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nerve-myelin-axon-fiber-before AI detection nerve-myelin-axon-fiber-after AI detection

Interneurons and Purkinje

Automated classification of molecular and purkinje layers in brain image with area measurements. Subsequent detection and count of interneurons and purkinje cells.

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brain-cell-classification-before AI detection brain-cell-classification-after AI detection


Glia detection in human brain sample.

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humanbrain-glia-neuron-before AI detection humanbrain-glia-neuron-after AI detection


Detection of motorneuron in rat biopsy.

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rat-motoneuron-before AI detection rat-motoneuron-after AI detection



Colorectal Cancer

AI-assisted segmentation of colorectal carcinoma digitized images to identify prognostic and predictive histologic signatures.

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colorectal cancer before colorectal cancer after


Automated calculation and scoring of PD-L1. 

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PD-L1 before AI detection PD-L1 after AI detection


Mitosis detection and quantification.

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Mitosis before AI detection Mitosis after AI detection


Calculating Ki-67 proliferation index for pulmonary carcinoid tumors with AI.

Read the case study.

Ki-67 quantification

Breast Cancer

AI assisted detection of IHC stained CD3+ T-cells, CD20+ B-cells, DC-Lamp+ mature dendritic cells, and Hematoxylin in a HER2+ breast cancer surgical resection.

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(Before AI) IHC detected T, B-cells, dendritic cells in breast cancer (After AI) IHC detected T, B-cells, dendritic cells in breast cancer

Tumor grading


Automating tumor grading in non-small cell lung cancer (NSCLC) studies at MIT.

Read the case study. 

NSCLC Tumor-grading-before NSCLC Tumor grading after-1

Tumor grading

Breast Cancer

Automated tumor grading in breast cancer biopsies.

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breast-cancer-grading-before AI detection breast-cancer-grading-after AI detection

Tumor grading

Prostate Cancer

Automated tumor grading in prostate cancer biopsies.

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prostate cancer grading prostate cancer grading

Biomarker identification


Identifying novel prognostic biomarkers in primary sclerosing cholangitis (PSC).

Read the case study.

Biomarker identification before Biomarker identification after



AI in studying nonalcoholic fatty liver disease (NAFLD) and its capability to segment structures in liver histology.

Read the case study.

liverballooning-before liverballooning-after



Automated quantification of damage and scarring in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

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liver-fibrosis-before liver-fibrosis-after



Automated quantification of inflammation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

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liver-inflammation-before liver-inflammation-after



Automated quantification of fat accumulation in liver tissue in nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).

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Fat accumulation before Fat accumulation after

Blast Cells

AI trained to identify blast cells (green) and red blood cells (red).

Read the case study.

blast cell before blast cell after

Bone Marrow

AI model used to determine changes in bone marrow cellularity

Read the case study.

bone marrow before bone marrow after

Yeast contaminants

AI-aided identification of contamination in yeast fermentations

Read the case study.

Yeast lallemand before Yeast lallemand after

Kidney Tissue

Using AI to review tissues for histopathological lesions in blinded studies.

Read the case study.

Screenshot (1895)-1 Screenshot (1896)-1

DSS Colitis

DSS-induced colitis AI model showing histopathological lesions.

Read the case study

DSS-colitis-1-before DSS-colitis-1-after

Immune Cells in Human Colon

Multichannel (Immunofluorescence) human colon tissue showing staining for various vascular and immune cell markers in addition to epithelium.

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Immune Cells in Human Colon

NICD1 in Human Colon

Aiforia Create training window showing annotations for NICD1 in multi-channel (Immunofluorescence) human colon tissue, stained with various vascular & immune cell markers in addition to epithelium.

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Human Colon Multichannel 1

Cultured Neurons

Multichannel immunofluorescent image of cultured neurons showing microtubule (red) and nuclear (blue) staining.

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Multichannel immunofluorescent image cultured neurons


Identifying lesions and quantifying cells at Tufts University.

Read the case study.

Tuberculosis before Tuberculosis after


Analyzing microscopic images of human blood and tissue to identify patterns of COVID-related disease.

Read the case study.

Coronavirus before Coronavirus after


Neovascular lesion identification in SD-OCT scans for preclinical model development with the contract research organization Experimentica.

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Ocular before Ocular after


Placental tissue analysis

Quantification of HLA-G/CK7 ratios for protein expression in preeclampsia research.

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Preeclamtic after Preeclamtic before


Malaria parasite detection from blood smear.

Read the case study.

Malaria before AI detection Malaria after AI detection


Detection of intact yeast cells in bright field images.

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Yeast before AI detection Yeast after AI detection


Acute respiratory distress syndrome (ARDS) lesion segmentation and cell identification.

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Respiratory disease before Respiratory disease after


Endometrial sample analysis

Endometrial epithelium segmentation and leukocute quantification.

Read the case study.

Reproductive endometrial before Reproductive endometrial after


Estrus cycle evaluation

Determining the stages of the estrus cycle in cytological samples.

Read the case study.

Reproductive disease


Preclinical studies
Identification and quantification of ovarian follicles.
Reproductive_ovarian follicles_before Reproductive_ovarian follicles_after

Lung Fibrosis

Charles River Laboratories pathologists are enhancing image analysis in pre-clinical toxicology, lung studies for lung tissue detection, parenchyma, structural collagen, and fibrotic lesions.

Read the case study.

lung-fibrosis-before lung-fibrosis-after

Blood Sample

White blood cell (WBC) count.

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WBC-2-before WBC-2-after

Skin Biopsy

Automated detection of dermis and epidermis of skin tissue sample.

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skin-biopsy-before skin-biopsy-after


Islet and beta cell classification.

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pancreas-islets-betacell-before pancreas-islet-betacell-after

Idiopathic pulmonary fibrosis

Quantitating the absolute number of inflammatory cells in IPF studies.

Read the case study. 

Inflammatory Cells Inflammatory Cells AI analysis

Other Diseases

Lauren Prince1

Salmon skin

Scientists at Nofima used AI to recognize and analyze the successive tissues in Atlantic salmon skin.

Read the case study.

Salmon skin before AI detection Salmon skin after AI detection


Measuring concrete porosity and composition. 

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Concrete AI detection

Other Industries


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