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AI research for automated microscopy imaging and processing


Together with leading microscopy image processing researchers at Uppsala University, Vironova has recently published a new peer reviewed research article in the area of microscopy imaging and processing. The article investigates if and how some of the most urgent challenges in the industry can be tackled using artificial intelligence (AI).

At Vironova, we believe in innovation and to keep offering cutting edge solutions. We are continuously working on ways to contribute to science and research, which are the very foundation of innovation of the biopharmaceutical industry. 

Our CTO Dr. Ida-Maria Sintorn has recently published the scientific article “TEM image restoration from fast image streams” together with collaborators in the HASTE project, Håkan Wieslander and Prof. Carolina Wählby from the Department of Information Technology at Uppsala University and SciLifeLab. In the article, they address some of the major challenges which the microscopy imaging industry is facing. 

More specifically, there has been an explosion in the amount of image data generated from microscopy experiments due to faster and more automated microscopes in the recent years. The increased speed at which data is collected results in data-volumes that are costly to handle and easily exceed the computational and data storage resources available. This entails a need for smarter acquisition and analysis methods. 

In the article, the researchers investigate if artificial intelligence can solve these challenges by automatically finding the most valuable parts of the samples, making both the imaging and analyses processes less time consuming and data-intensive.

Access the full scientific publication here

Artificial intelligence powered software

Did you know that Vironova Analyzer Software (VAS) and Vironova Image and Analysis Software (VIAS) are both powered by artificial intelligence? They will help you and your organization to save both time and money on your transmission electron microscopy (TEM) analyses.