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Tissue samples with high quality and accuracy within digital pathology

Lumito develops tissue diagnostics of the future that fills a gap in the market as the number of tissue samples increases with a growing population, with a higher average life expectancy and new individualized treatment methods. This requires more and more reliable analysis methods.

At the same time, healthcare’s capacity and resources are limited, which means long response times after sampling. There is a great need for digital pathology – digitization of the analysis processes. Digital pathology is already a recognized way of working in several of the clinical pathology laboratories throughout the Nordic region today and the EU is accelerating development by creating a European data warehouse for digital pathological images, which can be used to train AI algorithms (artificial intelligence algorithms) to interpret the images(1).

(1) “EU-satsning på digital patologi” Nyhetsartikel Uppsala universitet, 2021-04-21


Next generation imaging technology

The technology is revolutionary and will facilitate most of the pathologists’ time-consuming tasks – examining tissue samples.

The technology meets the market’s increased requirements and provides conditions for significantly improved tissue diagnostics through higher quality of the analyses and shorter analysis times. The technology provides completely new conditions for searching for several disease variations in the same tissue – multiplexing, but also offers digital analysis and enables automation.

The technology has several potential uses. Initially, the company has chosen to develop a scanner, including reagents, staining fluids, for digitized tissue diagnostics – where the analysis is performed on a computer and can be done remotely.


Need to improve diagnostics of tissue samples

The level of accuracy based on today’s staining methods in tissue diagnostics is about 70 percent, which means that about 30 percent of pathologists’ opinions are incorrect or uncertain, which emphasises a strong need for increased accuracy.

The number of tissue samples increases with a growing population, higher average life expectancy, and new individualised treatment methods. This requires increasingly specific analytical responses. At the same time, the healthcare capacity is limited, resulting in longer response times after samples are taken. In parallel, there is a great need to digitise the analysis processes, otherwise known as, digital pathology.