The latest technologies in the field of artificial intelligence enable the automatic interpretation of tissue samples and cell cultures. Specifically, digital images taken with a slide scanner and HCS, a type of microscopy robot, are analyzed using deep learning methods. The result of the analysis is the reliable and rapid quantification of the effects of the drug candidates on the tissue and cell cultures.
HS Analysis specialists are proficient in various technologies. The choice of the optimal technology depends strongly on the customer’s requirements. Below are 2 examples:
WSI Analysis in Digital Pathology
Digital microscopy is a promising method for quantitative automatization in pharmaceutical research. The key technology was the introduction of Whole-Slide Imaging (WSI) or well plates with digital slide Scanners or HCS. They allow virtualization of the whole slide or well plate with large tissue sections or cell cultures in high microscopic resolution. Combination of WSI or well plates with automatic detection and quantification software enables numerous new possibilities and methods to search for drugs against diseases. HS Analysis develops automatic WSI and well plates quantification solutions for efficient workflows in pharmaceutical research. Our solutions are compatible with all slide scanner or HCS file formats.
Deep Learning in Digital Pathology
Recent evolution in artificial neural networks allows reliable recognition of structures with complex morphology traits, similar like the human brain does. HS Analysis specialized in neural network applications and Deep Learning to detect your Region of Interest in automatic manner. Avoid manual annotations for ROI definition to achieve high throughput with short analysis times.
