Explore the most comprehensive digital pathology solution available
Visiopharm offers advanced image analysis and tissue mining tools packaged into on-premise subscriptions that you’ll never outgrow. Watch out “Mastering Your Image Analysis Skills” series to learn the latest tips.
Artificial intelligence in digital pathology
Terms like artificial intelligence (AI), machine learning (ML), and deep learning (DL) have permeated most industries. Learn more about the important differences among these terms to provide a deeper understanding about their roles in image analysis and your research.
Train a deep learning classifier
Learn to efficiently generate accurate training data and produce quality control metrics for your deep learning classifiers.
The importance of pre-analytical processing
Explore the numerous pre-analytical processes that contribute to non-uniformity and can negatively impact the performance of image analysis algorithms.
Tips and tricks to increase your APP performance
Understand how adjusting certain APP parameters will impact performance and speed. Learn how to tune your APP to run most effectively. Explore the numerous pre-analytical processes that contribute to non-uniformity and can negatively impact the performance of image analysis algorithms.
Making sense out of multiplex
Discover Visiopharm’s phenotyping module that enables robust, automated and unbiased classification of high-plex data for immuno-oncology research and any other multiplex fluorescent data.
Cancer tissue analysis a practical appraoch using deep learning
Walk through an example of how to set up and adapt AI-based APPs that utilize deep learning to automate detection of proliferative hot-spots within tumor regions.
Segmentation and colocalization in multiplexed images
Explore deep learning strategies to streamline segmenting cells and identifying expression in fluorescent imaging, easily denoting expression and colocalization.
Phenotyping the tumor microenviornment
Explore deep learning strategies to streamline segmenting cells and identifying expression in fluorescent imaging, easily denoting expression and colocalization.
Fluorescence analysis – using deep learning to stratify mitotic events in complex cellular data
Explore how Visiopharm used deep learning to train a classifier to automatically identify and count a range of mitotic figure morphologies in an entire tissue sample, eliminating the tedious enumeration process.