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QuantaCell develops technologies that enable laboratories and researchers to automatically understand and leverage the value contained in their biomedical images

Quantacell actively contributes to the scientific community through scientific collaborations and high-level publications in prestigious journals.

Our work covers the fields of artificial intelligence, 3D image analysis, organoid imaging, and biomedical innovation.

Founded in

2014

with 5 employees, 3 interns, 2 external collaborators

More than

40

publications dont 2 including 2 in Nature Methods

More than

100

R&D projects with laboratories, hospitals and pharmaceutical companies

Our publications

Why choose
Quantacell?

  • Over 10 years of field experience
    • Over 100 real-world projects conducted with leading institutions (Curie, Bergonié, Montpellier University Hospital, etc.).
    • Strong understanding of the biomedical field through close ties with the biomedical research community (understanding needs and challenges): the intersection of IT, AI, and biomedical research through close collaboration
    • QuantaCell is already recognized as a key player in the biomedical imaging sector

  • Cutting-edge biomedical AI
    • Pre-trained neural networks on large image databases, capable of automatically recognizing cellular and tissue structures.
    • Expertise in next-generation AI: Foundation models, transformers, LLMs
    • Mastery of AI in academic research and industrial implementation

  • Performance without heavy infrastructure
    Ultra-optimized software pipelines to run on standard PCs, without expensive servers.

  • Recognized scientific validation
    Several reference publications, including two in Nature Methods.

  • Ergonomic quality of software
    • Thanks to a multidisciplinary team of researchers, computer scientists, and biologists, QuantaCell has a deep understanding of the daily needs of end users (biologists, researchers, etc.).
    • QuantaCell develops highly advanced analytical tools using AI, while maintaining ease of use.

An experienced and expert AI team
with over 10 years of experience in the biomedical field

Victor RACINE, PhD

Founder et CEO

He is engineer in electronics (ISEN) and obtained a PhD from Paris 6 (France) in Biophysics at the Institut Curie. He made a postdoctoral work in Singapore (IMCB). He is more than 20-year experienced in artificial intelligence and bio-imaging. Since 2014, he is running the company.

Jocelyne GAU, PhD

Co-founder and RH

She is a physicist and obtained a PhD in biophysics at the University of Evry on biomolecules quantification. She is on charge of human resources.

Gaetan GALISOT, PhD

Senior Data Scientist

Gaetan Galisot specializes in the medical image segmentation and registration. He has obtained a PhD degree from Université de Tours (LIFAT). He is working on image analysis as well as on the software development.

Damien BLANC, PhD

Senior Data Scientist

Damien Blanc is biostatistician. He did his PhD of mathematics at the University of Montpellier, in collaboration with the Institut Curie. He is specialized in deep learning.

Fabien CABALLERO, MSc

Development Engineer

Fabien Caballero holds a Master’s degree in Computer Science with a specialization in image processing, analysis, and deep learning. He focuses on designing and integrating new features to make our software more intuitive, ergonomic, and aligned with users’ needs.

Christophe LATRILLE, PhD

Product Manager

Christophe Latrille learned a PhD in Behavioral Sciences applied to digital health at the University of Montpellier. He is interested, among other things, in the relationship between usage and tool in the product development cycle.

Soukaina EL MKAMI

Master2 internship

Soukaina El Mkami is a second-year Master’s student in Medical Imaging. During her internship at QuantaCell, she works on AI-based methods for processing electron microscopy images, including image alignment, preprocessing, and automatic cell nuclei segmentation.

Virgile ECARD

Master2 internship

Virgile Ecard is a second-year master’s student in computer science at the University of Montpellier. As part of his final-year internship, he designs and trains neural networks for histological image segmentation to improve their performance and adaptability.

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