This article is part of the supplement: Proceedings of the 11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy

Open Access Open Badges Proceedings

Label free technologies: Raman micro-spectroscopy and multi-spectral imaging for lymphocyte classification

Teddy Happillon1, Valérie Untereiner1, Abdelilah Beljebbar1, Cyril Gobinet1, Michel Manfait1, Sylvie Daliphard2, Pascale Cornillet-Lefebvre2, Xavier Troussard3, Jesus Angulo4, Santiago Velasco-Forero4, Véronique Saada5, Georges Flandrin6 and Jacques Klossa6*

Author Affiliations

1 MEDyC FRE/CNRS 3481, 51096 Reims, France

2 CHU de Reims, 51100 Reims, France

3 CHU de Caen, 14033 Caen, France

4 CMM-ARMINES, 77300 Fontainebleau, France

5 IGR-Institut Gustave-Roussy, 94805 Villejuif, France

6 TRIBVN, 39, rue Louveau, 92320 Châtillon, France

For all author emails, please log on.

Diagnostic Pathology 2013, 8(Suppl 1):S32  doi:10.1186/1746-1596-8-S1-S32

Published: 30 September 2013

First paragraph (this article has no abstract)

Current diagnostic and prognostic approaches in oncology use morphological and molecular techniques which lead to patient personalized therapies. However, they are still complex and hard to standardize. This is also true for Chronic Lymphocytic Leukemia (CLL) that has been chosen for the IHMO project [1,2]. Simplifying diagnostic processes and making easier the standardization would be highly suitable. In order to develop such a simpler automated method, the IHMO project, funded by the French National Research Agency, proposed to develop a multimodal microscopy scanning platform that includes in a single machine a Raman micro-spectrometer (RMS) combined with a multispectral imager (MSI) [3,4].