Special Issue "The Future of Hyperspectral Imaging"

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 26 October 2018

Special Issue Editor

Guest Editor
Dr. Stefano Selci

IFN-CNR, 00133 Roma, Italy
Website | E-Mail
Interests: spectroscopy; scanning microscopy; hyperspectral imaging

Special Issue Information

Dear Colleagues,

Hyperspectral-based techniques (HSI) are pervading many, and increasing, fields of application. HSI began as a quite obvious tool within remote airborne observations; for instance, to determine land resources. The rapid development of spectroscopic hardware allowed fundamental passage of HSI from multispectral analyses (a few spectral lines), up to the full control and capture of spectral continuous ranges, while expanding its realm to food, biology, medicine, forensics, and art observation, just to name a few. The remarkable mix of the information (often represented as “hypercubes”) is at the same time spectroscopic (wavelength axis), structural (three axes), and plus time (a further axis). The structural part represents a range of information that can be within at least six orders of magnitude between micrometers (using HSI methods within microscopes, also of confocal type) and meters, while the usually-available large spectral range can be further functionally increased by adding fluorescence and Raman spectroscopies.

However, the rapid increase in the application areas will require a much higher speed in acquisition, clever data elaboration (e.g., neural networking methods are already used to safely assign local spectroscopic fingerprints to HIS images ), new hardware, and new ideas. There is a need to have effective tools, for instance, to make food analyses on real stocks, in real time and compatible with the daily products’ market, or make diagnoses on cells to reveal cancer during a routine medical check, without the need for a long wait.

Which advancements will be eventually more productive and innovative in this field?

We request contributions presenting techniques (methods, tools, ideas, or even market evaluations) that will contribute to the future roadmap of HSI, as well as concepts for significantly innovative objectives in HSI techniques.  Scientifically founded innovative and speculative research lines are welcome for proposal and evaluation.

Dr. Stefano Selci
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Hyperspectral imaging
  • Real time imaging and spectroscopies
  • Medical imaging by HSI
  • HSI for biology
  • Remote sensing
  • Hyperspectral microscopy
  • Fluorescence hyperspectral imaging
  • Raman hyperspectral imaging
  • Infrared hyperspectral imaging
  • Nanoscale imaging in HSI
  • Statistical methods for HSI
  • Hyperspectral data mining and compression
  • Hardware solutions for compact HSI instrumentation
  • Hyperspectral market forecast

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Compressive Hyperspectral Raman Imaging
Authors: Derya Cebeci-Maltaş1 and Dor Ben-Amotz 2
PortMera Research, Technopark Istanbul, Turkey
2 Purdue University, USA

Title: A multimodal approach to study chromatin organization in the cell nucleus based on fluorescence and polarized light scattering signature
Authors: Alberto Diaspro*, Aymeric Le Gratiet, Paolo Bianchini, Luca Lanzanò, Luca Pesce, Isotta Cainero, Riccardo Marongiu, Michele Oneto
Affiliation: Nanoscopy, Istituto Italiano di Tecnologia and Department of Physics, University of Genoa, Genova, Italy
Abstract: Fluorescence and polarized light scattering pixel by pixel  within an image scanning microscopy architecture will be outlined in order to provide a multimodal insight about organizational motifs of chromatin-DNA in nuclei at the interphase and functional consequences. The architecture and related approach are based on the coupling of Mueller matrix microscopy and fluorescence labelling. This study aims to move from fluorescence to label free microscopy especially in biological cases dealing with crowded environments.

Author: Costas Balas
Affiliation: Department of Electronic and Computer Engineering, Technical University of Crete, Greece

Authors: Panagiotis Tsakalides and Grigorios Tsagkatakis
Affiliation: Institute of Computer Science (ICS), Greece

Author: Francesca Romana Bertani
Affiliation: IFN-CNR, Italy

Authors: Lanfa Liu and Manfred Buchroithner
Affiliation: Technische Universität Dresden (TU Dresden), Germany

Author: Georg Daeschlein
Affiliation: University of Greifswald, Germany

Authors: Anne-Katrin Mahlein1 and Jan Behmann2
1 Institute of Sugar Beet Research, Gottingen, Germany
2 University of Bonn, Germany

Author: David Crouse
Affiliation: Clarkson University, USA

Author: Bibek Kabi
Affiliation: Ecole Polytechnique Palaiseau France, France

Author: Raymond Browning
Affiliation: National Institute of Standards and Technology (NIST), USA

Author: Ahmed M. Rady
Affiliation: Michigan State University, USA

Author: Arjun Chennu
Affiliation: Max Planck Institute for Marine Microbiology, Germany

Author: Giuseppe Bonifazi
Affiliation: Universita degli Studi di Roma La Sapienza, Italy

Author: Serranti Silvia
Affiliation: Universita degli Studi di Roma La Sapienza, Italy

Author: Saeid Homayouni
Affiliation: University of Ottawa, Canada

Author: Michal Gallay
Affiliation: Institute of Geography, Pavol Jozef Safarik University in Kosice, Kosice, Slovakia

Author: Claudia Pelosi
Affiliation: Department of Engineering, Universita degli Studi della Tuscia Viterbo, Viterbo, Italy

Author: Okan K. Ersoy
Affiliation: Purdue University, USA

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