solutions for

Academic research

Discover more in your samples, automate manual tasks, and collaborate online.

 

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AI-assisted image analysis

For academic research

Some of the world's leading research institutes and universities like MIT, Oxford, and others are using Aiforia's cloud-based software to automate manual image analysis tasks, speed up workflows by cutting down time from minutes to seconds, remove subjectivity in sample evaluation, and collaborate remotely.

Aiforia's software can be used in any research area, for any image analysis application. 

Aiforia's cloud-based deep learning artificial intelligence (AI) solutions for image analysis and pathology applications across all research areas are made for the end user. From simple but manual quantification, to measuring complex spatial metrics, in neuroscience, oncology, and more.

Aiforia caters to all, enabling users to harness the power of deep learning AI.

Benefits of AI-assisted analysis

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Discover

Find the hard to spot objects, patterns, and even what you might not have known existed.

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Speed up

Your work and publish faster as our AI models can analyze your images in 90% less time than with manual methods.

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Save time

Automate time-consuming tasks and take time back to focus on bigger challenges.

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Analyze consistently

Our AI removes inter- and intra-observer bias, standardizing your image analysis.

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Collaborate remotely

Share your data and findings with anyone globally through our cloud-based platform.

Digital brochure

Download our free brochure to find out more about Aiforia and our image analysis solutions

 
Access
Create your own AI model

With our cloud-based platform

Aiforia Create image analysis icon

Aiforia Create

Your cloud-based tool to develop AI models for any image analysis application.

Simply annotate some of your images to train our neural networks to identify, quantify, or measure your features of interest. There is no need to code or use any dedicated hardware.

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"A benefit of Aiforia is that it is a cloud-based software, so I can even use it when I am on a train on the way to a conference. I can access my images, do some annotations, check in on what my student is working on."
Liam Beckett
Liam Beckett PhD Candidate in Drug Research
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Our offering

Are you an educator?

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Aiforia Hub

Are you an educator looking to take their pathology or histology classes online? Explore our education platform. 

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Case studies, resources and more!

Aiforia's academic customers

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Duke University

TH+ neuron quantification

Case study

Automated dopaminergic neuron quantification in Parkinson's disease research.

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MIT

Tumor grading

Case study

Automated tumor grading in non-small cell lung cancer studies.

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Tufts University

Tuberculosis quantification

Case study

Automated detection and quantification of cells and lesions in tuberculosis studies.

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Massachusetts General Hospital

Amyloid-β detection

Case study

AI-assisted identification of the most characteristic markers of Alzheimer's disease and cerebral amyloid angiopathy.

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University of Helsinki

mHtt aggregation

Case study

AI-assisted analysis of mutant huntingtin (mHtt) aggregation in Huntington's disease affected brain tissue.

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Texas A&M University

Kidney lesion evaluation

Case study

Use of AI for detection of the cortex and medulla and reviewing tissues for histopathological lesions in blinded studies.

Seeing is believing.
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