Digitise your workflow for improved analysis, reduced errors, advances in workflow and a positive impact on your workforce.
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What is digital pathology? (01:30)
What is digital pathology? How can you use it? What are some of the benefits? In this video we explain everything you need to know – in just 90 seconds.
Discover our AI deep learning
The deep learning technology in our AI image analysis platform has been specifically developed for the field of histopathology, so you are able to apply, train and create high-quality deep learning algorithms to obtain breakthrough results in your field of work. With our platform, you get the power of state-of-the-art deep learning to solve your problems – without having to write a single line of code.
Research
Unlock the full potential of your research with our cutting-edge image analysis software, powered by artificial intelligence. Say goodbye to mundane image analysis and hello to groundbreaking discoveries and revolutionary treatments. Tissue mining with our software is like a treasure hunt for answers, where every click brings you one step closer to the cure. Designed for scientists, by scientists, our powerful tools will change the way you think about research and open doors to new possibilities you never thought possible.
Diagnostics
Revolutionize your pathology practice with our AI-driven solutions. Upgrade to cutting-edge technology that provides diagnostic decision support and boosts productivity. Our diagnostic APPs have been validated on thousands of tissue sections, ensuring reliability and consistency in every diagnosis.
Quality
AI and image analysis can play an important role and can be used for characterising and quantifying staining quality. Such technology can be used both as decision support for organisations, assisting them in achieving both standardisation and scalability and ultimately ensuring that the correct decisions are taken.
Benefits of digital pathology
Achieve medical breakthroughs with the help of AI deep learning
Get access to deep learning image analysis tools to unlock hidden insights and drive discoveries into breakthrough therapies.
Use AI to overcome tissue analysis challenges
Train deep learning to find meaningful populations from highly complex marker panels and compare across experiments, without having to learn a new software language.
Automate routine counting to save time and reduce error
Automate your cell counting process and take back time and reduce error, from manually counting cells by eye through a microscope.
Reduce the possibility of labelling mistakes with a paperless workflow
Switch to a paperless workflow and transmit digital slides directly to the pathologist, enhancing your efficiency and reducing the possibility of human error. Plus, less paper used means less cost and waste.
Automate routine work so you can focus on more valuable and high-impact tasks
Automate your workflow to take care of routine and repetitive tasks, freeing you up to focus on more valuable, high-impact tasks, that can transform your lab.
Gain faster access to archived digital slides
Speed up your access to slides by working with digital images accessible with just a few clicks compared to having to fetch physical slides, which can be hard to find. Digital slides will last longer too.
Appeal to the next generation of talent
Automation can help manage increasing workloads and prevent employee burnout, providing more stress free lives at work – one of the top qualities people look for in an employer.
Work from anywhere at any time
Keep your team happy by being able to offer flexible arrangements. Plus, flexible working can help with local recruitment problems by enabling pathologists to work from home and access their cases digitally.
“The huge benefit of Visiopharm is that you can develop your own custom algorithms a lot more efficiently than you can with other software products. The possibilities are virtually endless.”
“A scalable solution to efficiently process large numbers of images and return data even faster.”
“I have not personally seen a case where I disagreed with the software.”
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