Combining near-infrared autofluorescence and raman spectroscopy enhances the in vivo detection of cervical precancer

2008 ◽  
Author(s):  
Zhiwei Huang ◽  
Jianhua Mo ◽  
Wei Zheng ◽  
Jeffrey Low ◽  
Joseph Ng ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
In Vivo Detection ◽  
Cervical Precancer

Image-guided near-infrared Raman spectroscopy for in vivo detection of gastric dysplasia

2009 ◽  
Author(s):  
Zhiwei Huang ◽  
Seng Khoon Teh ◽  
Wei Zheng ◽  
Khek Yu Ho ◽  
Ming Teh ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Image Guided ◽  
Gastric Dysplasia ◽  
In Vivo Detection

Near-Infrared Raman Spectroscopy for in vivo Detection of Cervical Precancers

2001 ◽  
Vol 55 (8) ◽  
pp. 955-959 ◽  
Author(s):  
Urs Utzinger ◽  
Douglas L. Heintzelman ◽  
Anita Mahadevan-Jansen ◽  
Anais Malpica ◽  
Michele Follen ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
In Vivo Detection

scholarly journals Applications of Vibrational Spectroscopy for Analysis of Connective Tissues

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 922
Author(s):  
William Querido ◽  
Shital Kandel ◽  
Nancy Pleshko
Keyword(s):  
Raman Spectroscopy ◽  
Vibrational Spectroscopy ◽  
Near Infrared ◽  
Ex Vivo ◽  
Biological Tissues ◽  
Label Free ◽  
Connective Tissues ◽  
Bone Properties ◽  
Composition And Structure

Advances in vibrational spectroscopy have propelled new insights into the molecular composition and structure of biological tissues. In this review, we discuss common modalities and techniques of vibrational spectroscopy, and present key examples to illustrate how they have been applied to enrich the assessment of connective tissues. In particular, we focus on applications of Fourier transform infrared (FTIR), near infrared (NIR) and Raman spectroscopy to assess cartilage and bone properties. We present strengths and limitations of each approach and discuss how the combination of spectrometers with microscopes (hyperspectral imaging) and fiber optic probes have greatly advanced their biomedical applications. We show how these modalities may be used to evaluate virtually any type of sample (ex vivo, in situ or in vivo) and how “spectral fingerprints” can be interpreted to quantify outcomes related to tissue composition and quality. We highlight the unparalleled advantage of vibrational spectroscopy as a label-free and often nondestructive approach to assess properties of the extracellular matrix (ECM) associated with normal, developing, aging, pathological and treated tissues. We believe this review will assist readers not only in better understanding applications of FTIR, NIR and Raman spectroscopy, but also in implementing these approaches for their own research projects.

In vivo detection of cervical dysplasia with near-infrared Raman spectroscopy

2002 ◽  
Author(s):  
Amy Robichaux ◽  
Chad A. Lieber ◽  
Heidi Shappell ◽  
Beth Huff ◽  
Howard Jones III ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Near Infrared ◽  
Cervical Dysplasia

In Vivo Detection of hESC-RPE Cells via Confocal Near-Infrared Fundus Reflectance

2013 ◽  
Vol 44 (4) ◽  
pp. 380-384 ◽  
Author(s):  
Ramiro M. Ribeiro ◽  
Aldo Oregon ◽  
Bruno Diniz ◽  
Rodrigo B. Fernandes ◽  
Michael J. Koss ◽  
...  
Keyword(s):  
Near Infrared ◽  
Rpe Cells ◽  
In Vivo Detection

Combining near-infrared-excited autofluorescence and Raman spectroscopy improves in vivo diagnosis of gastric cancer

2011 ◽  
Vol 26 (10) ◽  
pp. 4104-4110 ◽  
Author(s):  
Mads Sylvest Bergholt ◽  
Wei Zheng ◽  
Kan Lin ◽  
Khek Yu Ho ◽  
Ming Teh ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Raman Spectroscopy ◽  
Near Infrared ◽  
In Vivo Diagnosis

Simultaneous Fingerprint and High-Wavenumber Confocal Raman Spectroscopy Enhances Early Detection of Cervical Precancer In Vivo

2012 ◽  
Vol 84 (14) ◽  
pp. 5913-5919 ◽  
Author(s):  
Shiyamala Duraipandian ◽  
Wei Zheng ◽  
Joseph Ng ◽  
Jeffrey J.H. Low ◽  
A. Ilancheran ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Early Detection ◽  
Confocal Raman Spectroscopy ◽  
Cervical Precancer ◽  
Confocal Raman
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