Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Chen, Haochang

  • Google
  • 1
  • 6
  • 4

Fraunhofer UK Research

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2019Hyperspectral imaging under low illumination with a single photon camera4citations

Places of action

Chart of shared publication
Griffiths, Alexander
1 / 4 shared
Dawson, Md
1 / 39 shared
Strain, Michael
1 / 10 shared
Li, David
1 / 1 shared
Herrnsdorf, Johannes
1 / 7 shared
Henderson, Robert K.
1 / 1 shared
Chart of publication period
2019

Co-Authors (by relevance)

  • Griffiths, Alexander
  • Dawson, Md
  • Strain, Michael
  • Li, David
  • Herrnsdorf, Johannes
  • Henderson, Robert K.
OrganizationsLocationPeople

document

Hyperspectral imaging under low illumination with a single photon camera

  • Griffiths, Alexander
  • Dawson, Md
  • Strain, Michael
  • Chen, Haochang
  • Li, David
  • Herrnsdorf, Johannes
  • Henderson, Robert K.
Abstract

Conventional sensors for hyperspectral imaging are limited by noise when operated in low illumination conditions. Recent advances in single-photon avalanche diode (SPAD) arrays provide image sensors capable of single photon counting imaging. Such devices provides camera systems which can operate under low illumination levels and high frame rates, with fully digital in-pixel processing capabilities. Here, we present a hyperspectral imaging system based on low level illumination of a target scene using nine LEDs, each with different emission wavelengths. The backscattered light is captured by a SPAD camera, which can recover spectral information based on the number of photon counts received for each illumination wavelength.

Topics
  • impedance spectroscopy