File:Immunohistochemistry technologies with AI.png

English: Today, one of the ways to improve the efficiency of histological image analysis is the use of artificial intelligence (AI).

The Department of Physiology and Biophysics of the Odessa National Medical University cooperates in this direction with the development of the Indica Lab company. (Quantitative Pathology) Albuquerque, New Mexico US Home - Indica Labs, by their HALO® Image Analysis Platform, the gold standard analysis for digital pathology solutions.

The presented image testifies to the possibility of obtaining critically more information when using AI together with brain slices of experimental animals (rats), which were stained with hematoxylin and eosin. For the first time, the possibility of recognizing neurons and glial cells with their simultaneous quantitative assessment without the use of expensive immunohistochemical research methods was implemented.

New vessels surrounded by many glial cells (green) point to their net contribution to microvessel growth. This fact was established without traditional immunohistochemistry technologies, just with AI histological analysis (Indica Labs) and low-cost painting of slices with hematoxylin-eosin (!) That might be recognized as AI’s first and most serious challenge to immunohistochemistry as a traditional and crucial approach to obtaining similar data. Further advantages of AI after Indica Labs should be discovered as soon as possible, serving as financial savings in research and practical medicine.

Dr. Mark Bates (PhD) Field Applications Scientist – EMEA +353879131643 Was informed of our intention and support initiative ”New and intriguing data extracted immediately from H&E stained brain slices are presented. It should be stressed that the leading role of activated microglial cells in angiogenesis in rat’s brain cortex with modeled chronic epilepsy is demonstrated. And highly priced immunohistochemical technologies aimed for the same facts proving are out of game (!!!)

Hence, we are sure that the presented picture favors the powerful potential of AI in histological information extraction. Being supported with money-saving, such technology deserves first-line attention in the different medical fields, especially oncology diagnostics.”

ONMedU students, who have been researching models of chronic epilepsy in rodents for a long time and successfully presented the obtained data at the World Congress Neurology 2023: Bidnyuk Vladimir Varava Svetlana Vastyanova Lada Pastukhov Olexandr Akseneneko Andrii Prybolovets Kseniya Supervisor: PhD, Associate Professor Pervak Mykhailo

Publication of posters expected in December 2023: WCN Journal - WCN 2023 (wcn-neurology.com)

English: Today, one of the ways to improve the efficiency of histological image analysis is the use of artificial intelligence (AI). The Department of Physiology and Biophysics of the Odessa National Medical University cooperates in this direction with the development of the Indica Lab company. (Quantitative Pathology) Albuquerque, New Mexico US Home - Indica Labs, by their HALO® Image Analysis Platform, the gold standard analysis for digital pathology solutions. The presented image testifies to the possibility of obtaining critically more information when using AI together with brain slices of experimental animals (rats), which were stained with hematoxylin and eosin. For the first time, the possibility of recognizing neurons and glial cells with their simultaneous quantitative assessment without the use of expensive immunohistochemical research methods was implemented. New vessels surrounded by many glial cells (green) point to their net contribution to microvessel growth. This fact was established without traditional immunohistochemistry technologies, just with AI histological analysis (Indica Labs) and low-cost painting of slices with hematoxylin-eosin (!) That might be recognized as AI’s first and most serious challenge to immunohistochemistry as a traditional and crucial approach to obtaining similar data. Further advantages of AI after Indica Labs should be discovered as soon as possible, serving as financial savings in research and practical medicine. Dr. Mark Bates (PhD) Field Applications Scientist – EMEA +353879131643 Was informed of our intention and support initiative ”New and intriguing data extracted immediately from H&E stained brain slices are presented. It should be stressed that the leading role of activated microglial cells in angiogenesis in rat’s brain cortex with modeled chronic epilepsy is demonstrated. And highly priced immunohistochemical technologies aimed for the same facts proving are out of game (!!!) Hence, we are sure that the presented picture favors the powerful potential of AI in histological information extraction. Being supported with money-saving, such technology deserves first-line attention in the different medical fields, especially oncology diagnostics.” ONMedU students, who have been researching models of chronic epilepsy in rodents for a long time and successfully presented the obtained data at the World Congress Neurology 2023: Bidnyuk Vladimir Varava Svetlana Vastyanova Lada Pastukhov Olexandr Akseneneko Andrii Prybolovets Kseniya Supervisor: PhD, Associate Professor Pervak Mykhailo Publication of posters expected in December 2023: WCN Journal - WCN 2023 (wcn-neurology.com)