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Advanced Spectroscopy, Imaging and Sensing in Biomedicine
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Advanced Spectroscopy, Imaging and Sensing in Biomedicine

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (15 June 2020) | Viewed by 19099

Special Issue Editors

Dr. Anna Chiara De Luca

E-Mail Website
Guest Editor
Institute of Biochemistry and Cell Biology - National Research Council of Italy, Via Pietro Castellino n.111, 80131 Napoli, Italy
Interests: Raman spectroscopy for cell sensing; Surface Enhanced Raman Spectroscopy (SERS) biosensors; Raman and SERS imaging; correlative imaging; optical sensors
Special Issues, Collections and Topics in MDPI journals
Dr. Stefano Managò

E-Mail Website
Guest Editor
Biophotonics and Advanced Microscopies Lab, Institute of Protein Biochemistry-IBP, National Research Council (CNR), Via Pietro Castellino n.111, 80131 Napoli, Italy
Interests: biophotonics, Raman spectroscopy, SERS, bioimaging, cancer, biosensors
Special Issues, Collections and Topics in MDPI journals
Dr. Ilaria Rea

E-Mail Website
Guest Editor
Institute of Applied Sciences and Intelligent Systems (ISASI), National Research Council, 80131 Napoli, Italy
Interests: nanomaterials; hybrid interfaces; photoluminescence; optical biosensors; drug delivery systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Now, and even more in the future, spectroscopy and photonics will be a strong key enabler for many techniques that can be exploited for high-resolution bioimaging and biosensing at cellular, intracellular, and bulk tissue levels. This Special Issue intends to capitalize on the recent progress in advanced spectroscopy, imaging, and sensing for the investigation of biological systems. Biophotonics spectroscopic and imaging approaches are ideally suited for the early detection of diseases and sensing applications including biomarkers detection, quantification, or mapping; cells’ identification and sorting; and to assess response to therapy. The physical principles behind each technique are emphasized on examining the advantages and limitations of each for biomedical applications. Fluorescence microscopy, Raman/SERS imaging, and single molecule microscopy are but a few of the advanced photonic techniques emerging as powerful tools to study the response of biosystems at the level of single cells, or even single molecules, because they are non-invasive, offer high detection sensitivity, and allow functional imaging at micro- or nano-scale resolution. Additionally, a variety of molecular and nanoparticle probes capable of tagging and highlighting the location of biological components that would otherwise be invisible under the microscope have been recently proposed.

To promote the latest advances in exploring spectroscopic/imaging approaches for the identification, understanding, and treatment of diseases, from the cellular/molecular level to macroscopic applications, we invite the submission of original research or review articles to this Special Issue.

Topics of the Special Issue are listed below, but other topics related to bioimaging and biosensing are also welcome. 

Dr. Anna Chiara De Luca
Dr. Stefano Managò
Dr. Ilaria Rea
Guest Editors

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 submissions that pass pre-check are 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. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). 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.

Keywords

  • Advanced microscopy in biomedical imaging and sensing
  • Raman/SERS spectroscopic imaging and sensing
  • Optical sensors for biomarkers
  • Optical fibers and sensors for biomedicine
  • Multimodality optical diagnostic systems
  • Fluorescence and super resolution in biomedical imaging and sensing
  • Nanomaterials for intracellular imaging
  • Nanomaterials for optical sensing
  • Biophotonics

Published Papers (4 papers)

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Research

20 pages, 4924 KiB  
Article
Estimation of Biological Parameters of Cutaneous Ulcers Caused by Leishmaniasis in an Animal Model Using Diffuse Reflectance Spectroscopy
by Deivid Botina, Ricardo Franco, Javier Murillo, July Galeano, Artur Zarzycki, Maria C. Torres-Madronero, Camilo Bermúdez, Jaime Montaño, Johnson Garzón, Franck Marzani and Sara M. Robledo
Sensors 2019, 19(21), 4674; https://doi.org/10.3390/s19214674 - 28 Oct 2019
Cited by 7 | Viewed by 3012
Abstract
Cutaneous leishmaniasis (CL) is a neglected tropical disease that requires novel tools for its understanding, diagnosis, and treatment follow-up. In the cases of other cutaneous pathologies, such as cancer or cutaneous ulcers due to diabetes, optical diffuse reflectance-based tools and methods are widely [...] Read more.
Cutaneous leishmaniasis (CL) is a neglected tropical disease that requires novel tools for its understanding, diagnosis, and treatment follow-up. In the cases of other cutaneous pathologies, such as cancer or cutaneous ulcers due to diabetes, optical diffuse reflectance-based tools and methods are widely used for the investigation of those illnesses. These types of tools and methods offer the possibility to develop portable diagnosis and treatment follow-up systems. In this article, we propose the use of a three-layer diffuse reflectance model for the study of the formation of cutaneous ulcers caused by CL. The proposed model together with an inverse-modeling procedure were used in the evaluation of diffuse-reflectance spectral signatures acquired from cutaneous ulcers formed in the dorsal area of 21 golden hamsters inoculated with Leishmanisis braziliensis. As result, the quantification of the model’s variables related to the main biological parameters of skin were obtained, such as: diameter and volumetric fraction of keratinocytes, collagen; volumetric fraction of hemoglobin, and oxygen saturation. Those parameters show statistically significant differences among the different stages of the CL ulcer formation. We found that these differences are coherent with histopathological manifestations reported in the literature for the main phases of CL formation. Full article
(This article belongs to the Special Issue Advanced Spectroscopy, Imaging and Sensing in Biomedicine)
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17 pages, 1687 KiB  
Article
Multispectral Depth-Resolved Fluorescence Lifetime Spectroscopy Using SPAD Array Detectors and Fiber Probes
by João L. Lagarto, Caterina Credi, Federica Villa, Simone Tisa, Franco Zappa, Vladislav Shcheslavskiy, Francesco Saverio Pavone and Riccardo Cicchi
Sensors 2019, 19(12), 2678; https://doi.org/10.3390/s19122678 - 13 Jun 2019
Cited by 5 | Viewed by 3940
Abstract
Single Photon Avalanche Diode (SPAD) arrays are increasingly exploited and have demonstrated potential in biochemical and biomedical research, both for imaging and single-point spectroscopy applications. In this study, we explore the application of SPADs together with fiber-optic-based delivery and collection geometry to realize [...] Read more.
Single Photon Avalanche Diode (SPAD) arrays are increasingly exploited and have demonstrated potential in biochemical and biomedical research, both for imaging and single-point spectroscopy applications. In this study, we explore the application of SPADs together with fiber-optic-based delivery and collection geometry to realize fast and simultaneous single-point time-, spectral-, and depth-resolved fluorescence measurements at 375 nm excitation light. Spectral information is encoded across the columns of the array through grating-based dispersion, while depth information is encoded across the rows thanks to a linear arrangement of probe collecting fibers. The initial characterization and validation were realized against layered fluorescent agarose-based phantoms. To verify the practicality and feasibility of this approach in biological specimens, we measured the fluorescence signature of formalin-fixed rabbit aorta samples derived from an animal model of atherosclerosis. The initial results demonstrate that this detection configuration can report fluorescence spectral and lifetime contrast originating at different depths within the specimens. We believe that our optical scheme, based on SPAD array detectors and fiber-optic probes, constitute a powerful and versatile approach for the deployment of multidimensional fluorescence spectroscopy in clinical applications where information from deeper tissue layers is important for diagnosis. Full article
(This article belongs to the Special Issue Advanced Spectroscopy, Imaging and Sensing in Biomedicine)
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18 pages, 2857 KiB  
Article
In-Cell Determination of Lactate Dehydrogenase Activity in a Luminal Breast Cancer Model – ex vivo Investigation of Excised Xenograft Tumor Slices Using dDNP Hyperpolarized [1-13C]pyruvate
by Yael Adler-Levy, Atara Nardi-Schreiber, Talia Harris, David Shaul, Sivaranjan Uppala, Gal Sapir, Naama Lev-Cohain, Jacob Sosna, Shraga Nahum Goldberg, J. Moshe Gomori and Rachel Katz-Brull
Sensors 2019, 19(9), 2089; https://doi.org/10.3390/s19092089 - 05 May 2019
Cited by 11 | Viewed by 3338
Abstract
[1-13C]pyruvate, the most widely used compound in dissolution-dynamic nuclear polarization (dDNP) magnetic resonance (MR), enables the visualization of lactate dehydrogenase (LDH) activity. This activity had been demonstrated in a wide variety of cancer models, ranging from cultured cells, to xenograft models, [...] Read more.
[1-13C]pyruvate, the most widely used compound in dissolution-dynamic nuclear polarization (dDNP) magnetic resonance (MR), enables the visualization of lactate dehydrogenase (LDH) activity. This activity had been demonstrated in a wide variety of cancer models, ranging from cultured cells, to xenograft models, to human tumors in situ. Here we quantified the LDH activity in precision cut tumor slices (PCTS) of breast cancer xenografts. The Michigan Cancer Foundation-7 (MCF7) cell-line was chosen as a model for the luminal breast cancer type which is hormone responsive and is highly prevalent. The LDH activity, which was manifested as [1-13C]lactate production in the tumor slices, ranged between 3.8 and 6.1 nmole/nmole adenosine tri-phosphate (ATP) in 1 min (average 4.6 ± 1.0) on three different experimental set-ups consisting of arrested vs. continuous perfusion and non-selective and selective RF pulsation schemes and combinations thereof. This rate was converted to an expected LDH activity in a mass ranging between 3.3 and 5.2 µmole/g in 1 min, using the ATP level of these tumors. This indicated the likely utility of this approach in clinical dDNP of the human breast and may be useful as guidance for treatment response assessment in a large number of tumor types and therapies ex vivo. Full article
(This article belongs to the Special Issue Advanced Spectroscopy, Imaging and Sensing in Biomedicine)
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25 pages, 10305 KiB  
Article
Deep Learning-Based Framework for In Vivo Identification of Glioblastoma Tumor using Hyperspectral Images of Human Brain
by Himar Fabelo, Martin Halicek, Samuel Ortega, Maysam Shahedi, Adam Szolna, Juan F. Piñeiro, Coralia Sosa, Aruma J. O’Shanahan, Sara Bisshopp, Carlos Espino, Mariano Márquez, María Hernández, David Carrera, Jesús Morera, Gustavo M. Callico, Roberto Sarmiento and Baowei Fei
Sensors 2019, 19(4), 920; https://doi.org/10.3390/s19040920 - 22 Feb 2019
Cited by 104 | Viewed by 7973
Abstract
The main goal of brain cancer surgery is to perform an accurate resection of the tumor, preserving as much normal brain tissue as possible for the patient. The development of a non-contact and label-free method to provide reliable support for tumor resection in [...] Read more.
The main goal of brain cancer surgery is to perform an accurate resection of the tumor, preserving as much normal brain tissue as possible for the patient. The development of a non-contact and label-free method to provide reliable support for tumor resection in real-time during neurosurgical procedures is a current clinical need. Hyperspectral imaging is a non-contact, non-ionizing, and label-free imaging modality that can assist surgeons during this challenging task without using any contrast agent. In this work, we present a deep learning-based framework for processing hyperspectral images of in vivo human brain tissue. The proposed framework was evaluated by our human image database, which includes 26 in vivo hyperspectral cubes from 16 different patients, among which 258,810 pixels were labeled. The proposed framework is able to generate a thematic map where the parenchymal area of the brain is delineated and the location of the tumor is identified, providing guidance to the operating surgeon for a successful and precise tumor resection. The deep learning pipeline achieves an overall accuracy of 80% for multiclass classification, improving the results obtained with traditional support vector machine (SVM)-based approaches. In addition, an aid visualization system is presented, where the final thematic map can be adjusted by the operating surgeon to find the optimal classification threshold for the current situation during the surgical procedure. Full article
(This article belongs to the Special Issue Advanced Spectroscopy, Imaging and Sensing in Biomedicine)
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