scholarly journals Using Raman Spectroscopy to Improve Hyperpolarized Noble Gas Production for Clinical Lung Imaging Techniques

10.5772/65114 ◽  
2017 ◽  
Author(s):  
Jonathan Birchall ◽  
Nicholas Whiting ◽  
Jason Skinner ◽  
Michael J. Barlow ◽  
Boyd M. Goodson
Keyword(s):  
Raman Spectroscopy ◽  
Imaging Techniques ◽  
Noble Gas ◽  
Gas Production ◽  
Lung Imaging

Advances in Raman spectroscopy and imaging techniques for quality and safety inspection of horticultural products

2019 ◽  
Vol 149 ◽  
pp. 101-117 ◽  
Author(s):  
Jianwei Qin ◽  
Moon S. Kim ◽  
Kuanglin Chao ◽  
Sagar Dhakal ◽  
Byoung-Kwan Cho ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Imaging Techniques ◽  
Quality And Safety ◽  
Horticultural Products

scholarly journals Current and Future Advancements of Raman Spectroscopy Techniques in Cancer Nanomedicine

2021 ◽  
Vol 22 (23) ◽  
pp. 13141
Author(s):  
Elisabetta Canetta
Keyword(s):  
Raman Spectroscopy ◽  
Imaging Techniques ◽  
Rapid Development ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Raman Signal ◽  
Therapeutic Effects ◽  
Cancer Nanomedicine

Raman scattering is one of the most used spectroscopy and imaging techniques in cancer nanomedicine due to its high spatial resolution, high chemical specificity, and multiplexity modalities. The flexibility of Raman techniques has led, in the past few years, to the rapid development of Raman spectroscopy and imaging for nanodiagnostics, nanotherapy, and nanotheranostics. This review focuses on the applications of spontaneous Raman spectroscopy and bioimaging to cancer nanotheranostics and their coupling to a variety of diagnostic/therapy methods to create nanoparticle-free theranostic systems for cancer diagnostics and therapy. Recent implementations of confocal Raman spectroscopy that led to the development of platforms for monitoring the therapeutic effects of anticancer drugs in vitro and in vivo are also reviewed. Another Raman technique that is largely employed in cancer nanomedicine, due to its ability to enhance the Raman signal, is surface-enhanced Raman spectroscopy (SERS). This review also explores the applications of the different types of SERS, such as SERRS and SORS, to cancer diagnosis through SERS nanoprobes and the detection of small-size biomarkers, such as exosomes. SERS cancer immunotherapy and immuno-SERS (iSERS) microscopy are reviewed.

scholarly journals Calibration of cosmogenic noble gas production based on36Cl-36Ar ages. Part 2. The81Kr-Kr dating technique

2015 ◽  
Vol 50 (11) ◽  
pp. 1863-1879 ◽  
Author(s):  
I. Leya ◽  
N. Dalcher ◽  
N. Vogel ◽  
R. Wieler ◽  
M. W. Caffee ◽  
...  
Keyword(s):  
Noble Gas ◽  
Gas Production

scholarly journals A Novel System for Patient Ventilation and Dosing of Hyperpolarized 3He for Magnetic Resonance Imaging of Human Lungs

2020 ◽  
Vol 10 (9) ◽  
pp. 3163
Author(s):  
Robert Kordulasiński ◽  
Marta Królewska ◽  
Bartosz Głowacz ◽  
Lutosława Mikowska ◽  
Zbigniew Olejniczak ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Lung Volume ◽  
Human Lung ◽  
Noble Gas ◽  
Lung Imaging ◽  
Resonance Imaging ◽  
Human Lungs ◽  
Hyperpolarized 129Xe ◽  
Breath Cycle

A versatile ventilator for controlling a patient’s breath cycle and dosing 3He gas has been designed and constructed. It is compatible with a medical magnetic resonance imaging scanner and can be incorporated into routine human lungs imaging procedure that employs hyperpolarized noble gas as a contrast agent. The system adapts to the patient’s lung volume and their breath cycle rhythm, providing maximum achievable comfort during the medical examination. Good quality magnetic resonance lung images of healthy volunteers were obtained. The system has the capability of recycling the exhaled gas to recover the expensive 3He isotope, and can be also adapted to human lung imaging with hyperpolarized 129Xe.

Advances in lung imaging techniques for the treatment of respiratory disease

2008 ◽  
Vol 5 (2) ◽  
pp. 87-92 ◽  
Author(s):  
Winfried Möller ◽  
Gabriele Meyer ◽  
Wolfgang G. Kreyling
Keyword(s):  
Respiratory Disease ◽  
Imaging Techniques ◽  
Lung Imaging

scholarly journals Combined Raman Spectroscopy and Digital Holographic Microscopy for Sperm Cell Quality Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
A. De Angelis ◽  
S. Managò ◽  
M. A. Ferrara ◽  
M. Napolitano ◽  
G. Coppola ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Sperm Cell ◽  
Imaging Techniques ◽  
Reproductive Capacity ◽  
Digital Holographic Microscopy ◽  
Quality Analysis ◽  
Label Free ◽  
Morphological Defects ◽  
Bovine Spermatozoa

The diagnosis of male infertility is vastly complex. To date, morphology, motility, and concentration have been used as key parameters to establish the sperm normality and achieve pregnancy both in natural and in assisted fecundation. However, spermatozoa from infertile men could present a variety of alterations, such as DNA fragmentation, alterations of chromatin structure, and aneuploidy, which have been demonstrated to decrease reproductive capacity of men. Therefore, the ability to see detailed relationships between morphology and physiology in selected spermatozoa with submicrometric resolution in a nondestructive and noninvasive way and within a functional correlated context could be extremely important for the intracytoplasmic sperm injection procedure. In this review, we describe label-free optical spectroscopy and imaging techniques, based on the combination of Raman spectroscopy/imaging with holographic imaging, which are able to noninvasively measure the (bio)chemistry and morphology of sperm cells. We discuss the benefits and limitation of the proposed photonic techniques, with particular emphasis on applications in detection/characterization of sperm cell morphological defects and photodamage, and the identification/sorting of X- and Y-bearing bovine spermatozoa.

SERS-based detection of biomolecules

Nanophotonics ◽  
2014 ◽  
Vol 3 (6) ◽  
pp. 383-411 ◽  
Author(s):  
Dana Cialla ◽  
Sibyll Pollok ◽  
Carolin Steinbrücker ◽  
Karina Weber ◽  
Jürgen Popp
Keyword(s):  
Raman Spectroscopy ◽  
Metallic Nanoparticles ◽  
Pathogen Detection ◽  
Imaging Techniques ◽  
Surface Enhanced Raman Spectroscopy ◽  
Current Application ◽  
Surface Enhanced Raman ◽  
Broad Variety ◽  
Detection Of Biomolecules ◽  
Application Fields

AbstractIn order to detect biomolecules, different approaches using for instance biological, spectroscopic or imaging techniques are established. Due to the broad variety of these methods, this review is focused on surface enhanced Raman spectroscopy (SERS) as an analytical tool in biomolecule detection. Here, the molecular specificity of Raman spectroscopy is combined with metallic nanoparticles as sensor platform, which enhances the signal intensity by several orders of magnitude. Within this article, the characterization of diverse biomolecules by means of SERS is explained and moreover current application fields are presented. The SERS intensity and as a consequence thereof the reliable detection of the biomolecule of interest is effected by distance, orientation and affinity of the molecule towards the metal surface. Furthermore, the great capability of the SERS technique for cutting-edge applications like pathogen detection and cancer diagnosis is highlighted. We wish to motivate by this comprehensive and critical summary researchers from various scientific background to create their own ideas and schemes for a SERS-based detection and analysis of biomolecules.

A Variation of 3D Printer Machinery for Spectroscopic Tissue Analysis

2019 ◽  
Author(s):  
Laura Connolly
Keyword(s):  
Raman Spectroscopy ◽  
Learning Algorithm ◽  
Imaging Techniques ◽  
Optical Data ◽  
Chicken Breast ◽  
Fixed Tissue ◽  
Tissue Samples ◽  
Target Registration Error ◽  
The Future ◽  
Fresh Frozen

PURPOSE: Raman Spectroscopy is amongst several optical imaging techniques that have the ability to characterize tissue non-invasively. To use these technologies for intraoperative tissue classification, fast and efficient analysis of optical data is required with minimal operator intervention. Additionally, there is a need for a reliable database of optical signatures to account for variable conditions. We developed a software system with an inexpensive, flexible mechanical framework to facilitate automated scanning of tissue and validate spectroscopic scans with histologic ground truths. This system will be used, in the future, to train a machine learning algorithm to distinguish between different tissue types using Raman Spectroscopy.  METHODS: A sample of chicken breast tissue is mounted to a microscope slide following a biopsy of fresh frozen tissue. Landmarks for registration and evaluation are marked on the specimen using a material that is recognizable in both spectroscopic and histologic analysis. The slides are optically analyzed using our software. The landmark locations are extracted from the spectroscopic scan of the specimen using our software. This information is then compared to the landmark locations extracted from images of the slide using the software, ImageJ. RESULTS: Target registration error of our system in comparison to ImageJ was found to be within 1.1 mm in both x and y directions. CONCLUSION: We demonstrated a system that can employ accurate spectroscopic scans of fixed tissue samples. This system can be used to spectroscopically scan tissue and validate the results with histology images in the future

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