PNIPU: Express Chlamydia Analyzer

2023: Technology Announcement

On July 7, 2023, Russian scientists from the Perm National Research Polytechnic University (PNIPU) announced the development of a new technology that allows the automatic detection of chlamydia in humans and animals.

Chlamydia infection or chlamydia is a disease of the genitourinary system that can be accompanied by itching and burning of the genitals, fever, severe pain in the lower abdomen and other symptoms. The presence of these bacteria can be determined by structural changes in cell tissues using histological analysis. Usually manual procedures are needed to detect the infection. This makes the process of diagnosis difficult and increases the time to take measures to prescribe treatment. The new development circumvents these limitations.

Russia has developed a technology for the automatic detection of chlamydia in people

A special device - the so-called express analyzer - covers all stages of the study: from loading the biomaterial under study to issuing a diagnosis for recognizing pathologies caused by chlamydial infection. The device consists of two units: a module for forming a histological sample, which includes the necessary procedures for preparing a slice, fixing biomaterial and treating reagents, as well as a recognizer of morphostructural changes in tissues using pathologies initiated by chlamydial infection.

It is said that the biomaterial processing unit includes a number of processes for forming a histological image: this, in particular, biomaterial loading, excision, technological interruption, painting, etc. The tissue pathology diagnosis recognition module includes a light microscope. It uses software based on a technique for constructing a neural network and pathology indicators.

The development will allow detecting infectious pathologies in the early stages, which will contribute to maintaining a stable epidemiological situation. It can also solve the problem with the lack of highly qualified personnel in the field of training and diagnostics of histological images, - say the project participants.[1]

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