Robot-Assisted SpiderMass for Real-Time Topography Mass Spectrometry Imaging.

Journal: Analytical chemistry
Published Date:

Abstract

Mass spectrometry imaging (MSI) has shown to bring invaluable information for biological and clinical applications. However, conventional MSI is generally performed from tissue sections. Here, we developed a novel MS-based method for mass spectrometry imaging. By coupling the SpiderMass technology, that provides minimally invasive analysis-to a robotic arm of high accuracy, we demonstrate that images can be acquired from any surface by moving the laser probe above the surface. By equipping the robotic arm with a sensor, we are also able to both get the topography image of the sample surface and the molecular distribution, and then and plot back the molecular data, directly to the 3D topographical image without the need for image fusion. This is shown for the first time with the 3D topographic MS-based whole-body imaging of a mouse. Enabling fast MSI bridged to topography paves the way for surgical applications to excision margins.

Authors

  • Nina Ogrinc
    Université de Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, F-59000, France.
  • Alexandre Kruszewski
    UMR 9189 - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille, University of Lille, INRIA, CNRS, F-59000 Lille, France.
  • Paul Chaillou
    UMR 9189 - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille, University of Lille, INRIA, CNRS, F-59000 Lille, France.
  • Philippe Saudemont
    Université de Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, F-59000, France.
  • Chann Lagadec
    University of Lille, CNRS, Inserm, CHU Lille, Centre Oscar Lambret, UMR9020 - UMR-S 1277 - Canther - Cancer Heterogeneity, Plasticity and Resistance to Therapies, F-59000 Lille, France.
  • Michel Salzet
    Université de Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, F-59000, France.
  • Christian Duriez
    UMR 9189 - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille, University of Lille, INRIA, CNRS, F-59000 Lille, France.
  • Isabelle Fournier
    Université de Lille, Inserm, CHU Lille, U1192-Protéomique Réponse Inflammatoire Spectrométrie de Masse-PRISM, Lille, F-59000, France. isabelle.fournier@univ-lille.fr.