Raman Spectroscopy Based Techniques in Tissue Engineering—An Overview

Perlaki, Clint Michael; Liu, Quan; Lim, Myo–Taeg

doi:10.1080/05704928.2013.863205

Cited by 23 publications

(15 citation statements)

References 69 publications

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“…• Characterization of optical and electronic properties of nanoparticles (Aleksandra et al, 2014;Ferrari and Basko, 2013;Maher, 2012;Soler and Qu, 2012;Alvarado et al, 2009) • Identification of defects in carbon nanotubes and fullerenes (Tachibana, 2013;Dresselhaus et al, 2010;Costa et al, 2008;Hennrich et al, 2005) • Scanning of nanoparticles in biological, food, and environmental samples (Zheng and He, 2014;Giovannozzi et al, 2014;Nima et al, 2014;Mustafa, 2013;Hargreaves et al, 2008) • Identification of normal and cancerous cells (Gonz alez-Solís et al, 2009Shangyuan et al, 2011;Rodriguez-L opez, 2009;Pichardo-Molina et al, 2006;Shafer-Peltier et al, 2002) • As a minimally invasive screening tool for acute renal transplantation rejection (Chung et al, 2008(Chung et al, , 2009Tu and Chang, 2012;Han et al, 2009;Brown et al, 2009a,b) • Detection of various biomolecules (McGeehan et al, 2011;Carey, 1983;Lord and Yu, 1970) • Applications in multiplexed Raman imaging, which is capable of detecting multiple targets simultaneously (Li et al, 2014;Zavaleta et al, 2014) • Tissue engineering (Perlaki et al, 2014) • Photothermal effect of metal nanoparticles (Bialkowski, 1996) …”

Section: Physiochemical Propertiesmentioning

confidence: 99%

Experimental Methodologies for the Characterization of Nanoparticles

Singh

2016

Engineered Nanoparticles

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Section: Physiochemical Propertiesmentioning

confidence: 99%

Experimental Methodologies for the Characterization of Nanoparticles

Singh

2016

Engineered Nanoparticles

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“…However, due to the weak signal strength inherent to most biological samples, the primary disadvantage of Raman spectroscopy is the need for high laser power and long exposure times, which are potentially harmful to the samples. Additionally, it is paramount to use TE scaffolds that do not generate high fluorescence and unwanted background peaks, as the choice of biomaterial influences the spectral quality and detection accuracy of Raman spectroscopy 131 .…”

Section: Raman Spectroscopy and Tissue Engineeringmentioning

confidence: 99%

Vibrational spectroscopy and imaging: applications for tissue engineering

Querido

Falcon

Kandel

et al. 2017

Analyst

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Tissue engineering (TE) approaches strive to regenerate or replace an organ or tissue. The successful development and subsequent integration of a TE construct is contingent on a series of in vitro and in vivo events that result in an optimal construct for implantation. Current widely used methods for evaluation of constructs are incapable of providing an accurate compositional assessment without destruction of the construct. In this review, we discuss the contributions of vibrational spectroscopic assessment for evaluation of tissue engineered construct composition, both during development and post-implantation. Fourier transform infrared (FTIR) spectroscopy in the mid and near-infrared range, as well as Raman spectroscopy, are intrinsically label free, can be non-destructive, and provide specific information on the chemical composition of tissues. Overall, we examine the contribution that vibrational spectroscopy via fiber optics and imaging have to tissue engineering approaches.

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“…Therefore, a Raman spectrum could serve as a molecular ?fingerprint? of a single cell, enabling the distinction of various cells, including those from bacteria and animals, without prior knowledge of the cells (details about Raman spectroscopy can be found at [ 12 ]).…”

Section: Introductionmentioning

confidence: 99%

Condensing Raman spectrum for single-cell phenotype analysis

et al. 2015

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BackgroundIn recent years, high throughput and non-invasive Raman spectrometry technique has matured as an effective approach to identification of individual cells by species, even in complex, mixed populations. Raman profiling is an appealing optical microscopic method to achieve this. To fully utilize Raman proling for single-cell analysis, an extensive understanding of Raman spectra is necessary to answer questions such as which filtering methodologies are effective for pre-processing of Raman spectra, what strains can be distinguished by Raman spectra, and what features serve best as Raman-based biomarkers for single-cells, etc.ResultsIn this work, we have proposed an approach called rDisc to discretize the original Raman spectrum into only a few (usually less than 20) representative peaks (Raman shifts). The approach has advantages in removing noises, and condensing the original spectrum. In particular, effective signal processing procedures were designed to eliminate noise, utilising wavelet transform denoising, baseline correction, and signal normalization. In the discretizing process, representative peaks were selected to signicantly decrease the Raman data size. More importantly, the selected peaks are chosen as suitable to serve as key biological markers to differentiate species and other cellular features. Additionally, the classication performance of discretized spectra was found to be comparable to full spectrum having more than 1000 Raman shifts. Overall, the discretized spectrum needs about 5storage space of a full spectrum and the processing speed is considerably faster. This makes rDisc clearly superior to other methods for single-cell classication.

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Raman Spectroscopy Based Techniques in Tissue Engineering—An Overview

Cited by 23 publications

References 69 publications

Experimental Methodologies for the Characterization of Nanoparticles

Experimental Methodologies for the Characterization of Nanoparticles

Vibrational spectroscopy and imaging: applications for tissue engineering

Condensing Raman spectrum for single-cell phenotype analysis

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