Our team of experts delivers innovative solutions transforming research in
biomedical imaging

Our team

Our team consists of highly skilled experts with backgrounds in biomedical research, computer science, and data analysis. We bring together these diverse areas of expertise to offer a comprehensive and tailored service that meets the specific needs of our clients. With our deep understanding of both the biological and computational aspects of image analysis and artificial intelligence, we are able to deliver innovative solutions that accelerate research and drive scientific discovery.
Victor Racine QuantaCell

Victor RACINE, PhD

CEO

Victor Racine is founder and CEO of QuantaCell. 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 QuantaCell

Jocelyne GAU, PhD

Founder

Jocelyne Gau is co-founder of QuantaCell. She is a physicist and obtained a PhD in biophysics at the University of Evry on biomolecules quantification. She is on charge of acquisition and development of new analysis tools.

Gaetan Galisot

Gaetan Galisot, PhD 

Senior datascientist 

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 QuantaCell

Damien BLANC, PhD

Datascientist 

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.

Paul-Axel Marie QuantaCell

Paul-Axel MARIE, MSc

Full stack developer

Paul-Axel Marie is engineer in data processing (EFREI). He is full stack developer in QuantaCell. He implements graphic interfaces by combining data science and ergonomy.

karthik2

Karthik KALYAN, MSc&MSc

Datascientist

Karthik Kalyan has dual Masters degree. He has a master’s degree in software engineering from The university of Sheffield and another master’s degree in bioinformatics from the University of Lille.

Dimitri Mikec, MSc 

Datascientist 

Dimitri Mikec is a bioscience engineer (INSA). He is working in collaboration with the artificial intelligence department of the Léon Berard center (cancer center in Lyon).

Titouan POQUILLON, MSc

Datascientist 

Titouan Poquillon is a biostatistics engineer (INSA). He is working in collaboration with Dr Aouacheria at ISEM (institute of evolutionary sciences in Montpellier).

Elise DRIMARACCI, Master-Mines Ales

Datascientist 

Elise Drimaracci is a Masters student from Mines Ales. She is currently pursuing her second year of studies and is specialising in AI and Datascience.

Our skills

Today, our team includes experts in artificial intelligence, image analysis, and statistics who work collaboratively to develop powerful software solutions that accelerate research and drive scientific discovery. With our deep understanding of both the biological and computational aspects of image analysis and artificial intelligence, we are able to guide biomedical research units towards better decision-making and improved outcomes.

quantification

Computer science

biology data analysis

Biology

biomedical imaging

Imaging

machine learning

Project management

Our partners

Institut National du cancer
Brio Bordeaux
Horizon 2020
Neubias
Eurobiomed

Our references with scientific publications

Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification

Nat Methods.2022 Jul;19(7):881-892. doi: 10.1038/s41592-022-01508-0. Epub 2022 Jun 13.Autors : Anne Beghin, Gianluca Grenci, Geetika Sahni, Su Guo, Harini Rajendiran, Tom Delaire, Saburnisha Binte Mohamad Raffi, Damien Blanc, Richard de Mets, Hui Ting Ong, Xareni Galindo, Anais Monet, Vidhyalakshmi Acharya, Victor Racine, Florian Levet, Remi Galland, Jean-Baptiste Sibarita, Virgile Viasnoff. Keywords : 3D imaging, Deep Learning, Quantification.

 Artificial intelligence solution to classify pulmonary nodules on CT

Diagn Interv Imaging. 2020 Dec;101(12):803-810. Autors : D Blanc, V Racine, A Khalil, M Deloche, J-A Broyelle, I Hammouamri, E Sinitambirivoutin, M Fiammante, E Verdier, T Besson, A Sadate, M Lederlin, F Laurent, G Chassagnon, G Ferretti, Y Diascorn, P-Y Brillet, Lucie Cassagnes, C Caramella, A Loubet, N Abassebay, P Cuingnet, M Ohana, J Behr, A Ginzac, H Veyssiere, X Durando, I Bousaïd, N Lassau, J Brehant. Keywords : Deep learning, Retina-UNET, 3D U-Net, PyTorch
Mitochondrial morphology is associated with respiratory chain uncoupling in autism spectrum disorder

Transl Psychiatry. 2021 Oct 13;11(1):527. Autors : RE Frye, L Lionnard, I Singh, MA Karim, H Chajra, M Frechet, K Kissa, V Racine, A Ammanamanchi, PJ McCarty, L Delhey, M Tippett, S Rose, A Aouacheria. Keywords : Cell segmentation, nuclei segmentation, statistics, AssayScope

Fluorescence eXclusion Measurement of volume in live cell

 

Methods Cell Biol. 2017. Auteurs : Cadart C, Zlotek-Zlotkiewicz E, Venkova L, Thouvenin O, Racine V, Le Berre M, Monnier S, Piel M. Keywords : Mass analysis. Biophysics, Microfluidcs

Synaptic recruitment of gephyrin regulates surface GABAA receptor dynamics for the expression of inhibitory LTP

Nature Commun. 2014 Jun 4;5:3921. PDF Auteurs : Petrini EM, Ravasenga T, Hausrat TJ, Iurilli G, Olcese U, Racine V, Sibarita JB, Jacob TC, Moss SJ, Benfenati F, Medini P, Kneussel M, Barberis A. Keywords : Neuroscience, dynamique des récepteurs, suivi dans le temps, segmentation

RNAi screening reveals a large signaling network controlling the Golgi apparatus in human cells

Molecular Systems Biology. 2012;8:629. PDF Auteurs : Chia J, Goh G, Racine V, Ng S, Kumar P, Bard F. Keywords : Criblage phénotypique, structure cellulaire, siRNA, machine learning, statistiques

Wavelet analysis for single molecule localization microscopy

Optics Express. 2012 Jan 30;20(3):2081-95. PDF Auteurs : Izeddin I, Boulanger J, Racine V, Specht CG, Kechkar A, Nair D, Triller A, Choquet D, Dahan M, Sibarita JB. Keywords : TIRF/PALM, SPT, détection moléculaire, imagerie avancée, ondelettes, fit gaussien, traitement des images

Experimental and theoretical study of mitotic spindle orientation

Nature. 2007 May 24;447(7143):493-6. Auteurs :Théry M, Jiménez-Dalmaroni A, Racine V, Bornens M, Jülicher F. Keywords : Cellule unique, détection et segmentation de compartiments, adhésion, microscopie automatisée, visualisation des données, modèle théorique, cytosquelette

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