Tag: Microscopy

Tissue Analysis with AI

New AI technologies by RSIP Vision are very powerful in analysis of tissues and histopathology. This complex task, which has been haunting for years the medical community, has now a very practical solution: deep learning gives very fruitful results to several challenges, like the segmentation of cells and nucleus and the classification of the cells according to the detected pathologies.

Classification and Segmentation of Dendritic Cells

Dry eye disease (DED) is one of the most common ophthalmic disorders. Inflammation of the ocular surface is controlled by corneal antigen-presenting cells called dendritic

Live cells tracking

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.

Chromosome 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.

Microscopy imaging of metastatic cancer cells

Trajectory tracking of a fluorescent tag

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.

Silicon nanowires observed with an electron microscope

Reconstruction of rough surfaces with shape from focus

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.

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Tag: Microscopy

Tissue Analysis with AI

Classification and Segmentation of Dendritic Cells

Live cells tracking

Chromosome classification

Trajectory tracking of a fluorescent tag

Reconstruction of rough surfaces with shape from focus

Get in touch

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