Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2016A novel method for a fast diagnosis of septic arthritis using mid infrared and deported spectroscopy26citations
  • 2016Fast and Non-Invasive Medical Diagnostic Using Mid Infrared Sensor: The AMNIFIR Project11citations

Places of action

Chart of shared publication
Coiffier, Guillaume
1 / 1 shared
Monbet, Valérie
2 / 5 shared
Charpentier, Fréderic
1 / 1 shared
Seck, Malik
1 / 1 shared
Fatih, Nadia
1 / 1 shared
Jolivet-Gougeon, Anne
1 / 1 shared
Guggenbuhl, Pascal
1 / 1 shared
Albert, Jean-David
1 / 1 shared
Loréal, Olivier
2 / 8 shared
Bureau, Bruno
1 / 126 shared
Boussard-Plédel, Catherine
1 / 89 shared
Charpentier, Frédéric
1 / 21 shared
Turlin, Bruno
1 / 3 shared
Henno, Sébastien
1 / 2 shared
Kachenoura, Amar
1 / 2 shared
Betagne, J. F.
1 / 2 shared
Senhadji, Lotfi
1 / 2 shared
Tariel, Hugues
1 / 7 shared
Bardou-Jacquet, Edouard
1 / 2 shared
Lainé, Fabrice
1 / 2 shared
Sire, Olivier
1 / 10 shared
Bensaid, Siouar
1 / 2 shared
Chart of publication period
2016

Co-Authors (by relevance)

  • Coiffier, Guillaume
  • Monbet, Valérie
  • Charpentier, Fréderic
  • Seck, Malik
  • Fatih, Nadia
  • Jolivet-Gougeon, Anne
  • Guggenbuhl, Pascal
  • Albert, Jean-David
  • Loréal, Olivier
  • Bureau, Bruno
  • Boussard-Plédel, Catherine
  • Charpentier, Frédéric
  • Turlin, Bruno
  • Henno, Sébastien
  • Kachenoura, Amar
  • Betagne, J. F.
  • Senhadji, Lotfi
  • Tariel, Hugues
  • Bardou-Jacquet, Edouard
  • Lainé, Fabrice
  • Sire, Olivier
  • Bensaid, Siouar
OrganizationsLocationPeople

article

Fast and Non-Invasive Medical Diagnostic Using Mid Infrared Sensor: The AMNIFIR Project

  • Charpentier, Frédéric
  • Monbet, Valérie
  • Turlin, Bruno
  • Henno, Sébastien
  • Kachenoura, Amar
  • Betagne, J. F.
  • Senhadji, Lotfi
  • Corvec, Maëna Le
  • Tariel, Hugues
  • Bardou-Jacquet, Edouard
  • Loréal, Olivier
  • Lainé, Fabrice
  • Sire, Olivier
  • Bensaid, Siouar
Abstract

Aim Amnifir project, part of the ANR TECSAN program, intended to assess the capabilities of a new Mid InfraRed spectroscopy (MIR) device. It used a simple fiber optic sampling method: Fiber Evanescent Wave Spectroscopy (FEWS), which makes Point of Care applications possible and delivers a result within a few minutes. Material and method To investigate the technology application range, different biological media (tissues, fluids) as well as pathologies (chronic, cancerous) were considered during the project. We present work on one cancer diagnostic, measuring tissues (colorectal polyp examination), and one chronic disease diagnostic, using a fluid sample (Non-Alcoholic SteatoHepatitis (NASH) markers in serum). We used specific FEWS sensors for both cases, made of chalcogenide infrared glass fiber, as well as proper signal analysis algorithm that first selected spectra area of interest by genetic algorithm, then discriminated the healthy population from the sick one by linear discriminant analysis. Results Measurements using liquid samples provide very encouraging results for NASH identification. On other hand, fiber sensor proved more difficult to use on tissues, as the fiber mechanical resistance appeared too low to sustain a contact with the hardest polyps. Conclusions AMNIFIR project demonstrated capabilities of MIR FEWS for medical diagnostic using biological fluids, leading to recruitments of further cohorts of NASH and other hepatic disorders patients. Mechanical resistance of fiber needs to be improved for tissues diagnostics

Topics
  • glass
  • glass
  • infrared spectroscopy