Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity at high sensitivity levels (Conference Presentation)

2017 ◽  
Author(s):  
Jianhua Zhao ◽  
Haishan Zeng ◽  
Sunil Kalia ◽  
Harvey Lui
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
High Sensitivity ◽  
Diagnostic Specificity ◽  
Cancer Diagnostic ◽  
Wavenumber Selection

Wavenumber selection based analysis in Raman spectroscopy improves skin cancer diagnostic specificity

The Analyst ◽  
2016 ◽  
Vol 141 (3) ◽  
pp. 1034-1043 ◽  
Author(s):  
Jianhua Zhao ◽  
Haishan Zeng ◽  
Sunil Kalia ◽  
Harvey Lui
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
High Sensitivity ◽  
Diagnostic Specificity ◽  
Cancer Diagnostic ◽  
Wavenumber Selection

Wavenumber selection based analysis with variably-sized windows was proposed, which improves skin cancer diagnostic specificity at high sensitivity levels.

scholarly journals Overview of Popular Techniques of Raman Spectroscopy and Their Potential in the Study of Plant Tissues

Molecules ◽  
2021 ◽  
Vol 26 (6) ◽  
pp. 1537
Author(s):  
Aneta Saletnik ◽  
Bogdan Saletnik ◽  
Czesław Puchalski
Keyword(s):  
Raman Spectroscopy ◽  
Cell Walls ◽  
Structural Changes ◽  
Spatial Information ◽  
Technological Development ◽  
Analytical Techniques ◽  
High Sensitivity ◽  
Plant Tissues ◽  
Wide Range ◽  
Identification Technique

Raman spectroscopy is one of the main analytical techniques used in optical metrology. It is a vibration, marker-free technique that provides insight into the structure and composition of tissues and cells at the molecular level. Raman spectroscopy is an outstanding material identification technique. It provides spatial information of vibrations from complex biological samples which renders it a very accurate tool for the analysis of highly complex plant tissues. Raman spectra can be used as a fingerprint tool for a very wide range of compounds. Raman spectroscopy enables all the polymers that build the cell walls of plants to be tracked simultaneously; it facilitates the analysis of both the molecular composition and the molecular structure of cell walls. Due to its high sensitivity to even minute structural changes, this method is used for comparative tests. The introduction of new and improved Raman techniques by scientists as well as the constant technological development of the apparatus has resulted in an increased importance of Raman spectroscopy in the discovery and defining of tissues and the processes taking place in them.

scholarly journals Emerging Minimally Invasive Technologies for the Detection of Skin Cancer

2021 ◽  
Vol 11 (10) ◽  
pp. 951
Author(s):  
Joon Min Jung ◽  
Ji Young Cho ◽  
Woo Jin Lee ◽  
Sung Eun Chang ◽  
Mi Woo Lee ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Treatment Response ◽  
High Sensitivity ◽  
High Specificity ◽  
Electrical Impedance Spectroscopy ◽  
High Frequency Ultrasound ◽  
Advantages And Disadvantages ◽  
Pigmented Lesion ◽  
Monitoring Treatment ◽  
Frequency Ultrasound

With the increasing incidence of skin cancer, many noninvasive technologies to detect its presence have been developed. This review focuses on reflectance confocal microscopy (RCM), optical coherence tomography (OCT), high-frequency ultrasound (HFUS), electrical impedance spectroscopy (EIS), pigmented lesion assay (PLA), and Raman spectroscopy (RS) and discusses the basic principle, clinical applications, advantages, and disadvantages of each technology. RCM provides high cellular resolution and has high sensitivity and specificity for the diagnosis of skin cancer. OCT provides lower resolution than RCM, although its evaluable depth is deeper than that of RCM. RCM and OCT may be useful in reducing the number of unnecessary biopsies, evaluating the tumor margin, and monitoring treatment response. HFUS can be mainly used to delineate tumor depths or margins and monitor the treatment response. EIS provides high sensitivity but low specificity for the diagnosis of skin malignancies. PLA, which is based on the genetic information of lesions, is applicable for the detection of melanoma with high sensitivity and moderate-to-high specificity. RS showed high accuracy for the diagnosis of skin cancer, although more clinical studies are required. Advances in these technologies for the diagnosis of skin cancer can lead to the realization of optimized and individualized treatments.

Raman spectroscopy reveals biophysical markers in skin cancer surgical margins

2018 ◽  
Author(s):  
Xu Feng ◽  
Austin J. Moy ◽  
Hieu T. M. Nguyen ◽  
Yao Zhang ◽  
Matthew C. Fox ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Skin Cancer ◽  
Surgical Margins

Optical design improvement for noncontact skin cancer diagnostic device

2018 ◽  
Author(s):  
Emilija V. Plorina ◽  
Dmitrijs Bliznuks ◽  
Alexey Lihachev ◽  
Aleksandrs Derjabo ◽  
Ilze Ošiņa ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Optical Design ◽  
Diagnostic Device ◽  
Design Improvement ◽  
Cancer Diagnostic

scholarly journals Ultrahigh sensitive Raman spectroscopy for subnanoscience: Direct observation of tin oxide clusters

2019 ◽  
Vol 5 (12) ◽  
pp. eaax6455 ◽  
Author(s):  
Akiyoshi Kuzume ◽  
Miyu Ozawa ◽  
Yuansen Tang ◽  
Yuki Yamada ◽  
Naoki Haruta ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Tin Oxide ◽  
Density Functional ◽  
Rational Design ◽  
High Sensitivity ◽  
Density Functional Theory Calculations ◽  
Surface Enhanced Raman Spectroscopy ◽  
Atomic Scale ◽  
Practical Applications ◽  
Surface Enhanced Raman

Subnanometric metal clusters exhibit anomalous catalytic activity, suggesting innovative applications as next-generation materials, although identifying and characterizing these subnanomaterials in atomic detail remains a substantial challenge because of the severely weak signal intensity for the conventional analytical methods. Here, we report a subnanosensitive vibrational technique established based on the surface-enhanced Raman spectroscopy, demonstrating the first-ever detailed vibrational characterization of subnanomaterials. Furthermore, combining with density functional theory calculations, we reveal that inherent surface structures of the tin oxide subnanoclusters determine the size-specific spectral and catalytic characteristics of these clusters. The high-sensitivity characterization methodology elaborated here can provide a comprehensive understanding of the chemical and structural natures of subnanomaterials, which facilitate the rational design of subnanomaterials on the atomic scale for practical applications, such as in catalysts, biosensors, and electronics.

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