MOREHISTO | Linksium
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Incorporated startups

Make measurable what is not

profilePhoto   Philippe Mattia
Linksium Contact Philippe Mattia +33 (0)4 57 13 81 65
MOREHISTO David Argenti, CEO +33 (0)7 87 47 35 08


  • Intuitive, adaptable, scaleable software
  • Reliability and reproducibility
  • Rapid multiparametric analyses
  • In control of the full process: from images to graphs

Key words

  • Image-analysis for biological samples
  • Software, digital pathology
  • High-throughput analysis
  • Artificial Intelligence, True Elements

Intellectual Property

  • 1 software




  • UGA

Linksium Continuum

  • Maturation
  • Incubation


  • Incorporated startups


R&D involving the use of biological samples, just like clinical diagnosis, requires qualitative and quantitative analysis of images of biopsies, sometimes combined with the use of biomarkers. Today, in the R&D field, multiparametric large-scale analysis compatible with high-throughput approaches requires the use of complex tools, while producing often only limited numbers of comparisons and results. In the clinical field, the standard procedure is performed by an expert pathologist.

This approach has several drawbacks that can lead to approximations in diagnosis, and as a result sometimes to biased treatment options for the patient. First, if biomarker sets are not standardized, results obtained in different settings may be different. Second, the result, including quantitative aspects, is based on analysis of only a few regions on the histological slide. Biopsy analysis is thus extremely time consuming and subject to intra- and inter-observer variations. Morehisto provides a novel reliable alternative for use by both researchers and clinicians, meeting the many challenges identified. It is simple to use, includes multiple parameters, provides representative and exhaustive analysis, and even standardizes biomarker sets.


The Morehisto solution is based on image-analysis software to provide rapid and exhaustive quantitative and qualitative analysis of biological samples. It is compatible with high-throughput analysis, and results can be compared to reference samples in linked databases. Morehisto enables simple parallel analysis of several parameters. The results obtained are based on intuitive input requests relying on a description of the expected result (e.g. cell count, quantification of co-localisation, or comparison of labelling densities). Morehisto for clinical use also provides sets of relevant, disease-specific, biomarkers.


  • Intuitive, easy to use settings
  • Simple installation, directly on the users’ computer
  • Improved speed of data collection and processing, thanks to automated analysis
  • Improved reliability of the results and repeatability, both inter• and intra-read, thanks to automated analysis
  • Exhaustive analysis: the whole sample is analysed thanks to the adapted image-analysis approach combined with treatment appropriate for massive datasets
  • Access to new biological parameters of interest, such as cell density, distances between vessels, tortuosity etc. that can be compared to a reference database
  • Rapid multiparametric analyses, using the combination of several biomarkers...

State of progress

Test software prototype is available.The system has been tested in an R&D environment on a wide range of biological samples and offers intuitive settings. Benchmarking against current standards indicated more than 50-fold reduction in analysis time for one sample, with results of a similar high quality.
Clinical compatibility has been tested on brain tumour samples. A study on bladder cancer is underway in collaboration with Chambery Hospital. Morehisto is a start-up project seeking new collaboration opportunities and beta-users, both in the R&D and the pre-clinical or clinical field.


Morehisto is adapted for R&D use as an intuitive software tool for research laboratories, CRO or companies routinely analysing biological samples. Morehisto can also be used in a clinical setting to help pathologists to perform exhaustive analysis of biological samples and obtain more reliable and quantitative data through application of a standardised procedure.