Microscopy Analysis

RSIP Vision creates advanced customized computer vision and image analysis solutions for microscopy analysis. Our state-of-the-art software and algorithms are used in a range of applications, from 3D reconstruction and analysis to whole slide pathology and TMA analysis for clinical and research applications. We have successfully completed a large number of important projects in molecular medicine and microscopy image processing: contact us and we will be happy to help you with yours!

3D reconstruction of rough surfaces

Reconstruction of the 3D shape of a surface viewed under the microscope is particularly challenging, owing to the irregular shapes that a surface can take. Irregular surfaces having many sharp bends and peaks have a high frequency texture pattern which needs to be smoothed out through a low-pass filter. The shape-from-focus method provides the framework to do just that, thanks to its ability to stably reconstruct a high frequency surface, as seen in electron microscopy. Read more...

Detecting Mitosis Using Deep Neural Networks

State and progression of breast cancer are assessed through prognostic factors, one of which is the mitotic figure. In a histological sample taken from patients, the fraction of breast tissue cells undergoing replication is used to grade the cancer. RSIP Vision's algorithms allow fast detection, recognition and classification of the mitotic state of a cell using automatic computational autonomous tools: deep neural networks help distinguish complex patterns in images and finally differentiate between mitotic and non-mitotic cells. Read more...

Automatic Segmentation of Tumor Cells

Molecular analysis of in histology enables quantification of abnormality in a given tissue, assess patient condition, and devise treatment. Tissue samples taken in biopsy allow researchers to screen for therapeutic agents but might not accurately capture the bulk tumor, due to its irregular non-cylindrical shape. This calls for an automated segmentation of tumor cells: RSIP Vision does that in several phases, concluded by machine learning methods which study the cell texture and classify the image accordingly. The end result is a fast and life-saving biopsy scanning and analysis system. Read more...

Trajectory Tracking of Fluorescent Tags

Studying the behavior of bio-molecules and the interaction they have with other molecular structures in their native environment, developing indirect measuring procedures based on tracking of single particle, provides valuable information about processes like viral infections of cells, protein-DNA interactions and other complex biological processes. Analysis of trajectories of a tagged particle is one of many RSIP Vision’s projects tracking objects in a sequence of images with dynamic programming, one of  our fields of expertise. Read more...

Tracking and Segmentation of cells

Manual cell inspection is limited to tracking a relatively small number of cells in short periods of time and it is prone to human errors. On the other hand, computer vision algorithms can be used to perform fast scanning, segmentation and tracking of large cell populations over long periods of time. Taking advantage of our experience in segmentation, microscopy and machine learning, this procedure helps saving both labor and time, hence enabling more timely diagnostic and therapy. Read more...

Automatic Chromosomes Classification

Chromosomes are organized structures containing most of living organisms' DNA. Though important to detect major troubles to an individual’s growth, development and body functioning, the test which identifies and evaluates size, shape and number of chromosomes in the body cells needs human expertise, which is currently very rare. RSIP Vision decided to use convolutional neural networks to perform this chromosomes automated classification with machine learning. Read more...

Other Projects

RSIP Vision has developed many applications in the field of molecular medicine and microscopy image analysis. From detection of branching points in dendrites to projects in oncology, neuroscience, metabolic disorders, toxicological pathology, cell classification, organ properties, histology image analysis, image stitching and many more: RSIP Vision can help you with world-class algorithms in everything related to microscopy image analysis. Contact us and we will assist you on your microscopy projects too!
Monocytes