Optical diagnostic of breast cancer using Raman, polarimetric and fluorescence spectroscopy

Anwar, Shahzad; Firdous, S.; Rehman, Aziz ul; Nawaz, Muhammad

doi:10.1088/1612-2011/12/4/045601

Cited by 17 publications

(10 citation statements)

References 29 publications

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“…Cancer is a generic term for a large group of diseases that arises from the metastases of the abnormal cells to the other organs [1,2]. In addition, the current diagnostic methods are mainly based on the biopsy that resembles to be painful and sluggish in the current cancer protocols.…”

Section: Introductionmentioning

confidence: 99%

Fluorescence properties of several chemotherapy drugs: doxorubicin, paclitaxel and bleomycin

Motlagh

Parvin

Ghasemi

et al. 2016

Biomed. Opt. Express

139

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Several chemo-drugs act as the biocompatible fluorophores. Here, the laser induced fluorescence (LIF) properties of doxorubicin, paclitaxel and bleomycin are investigated. The absorption lines mostly lie over UV range according to the UV-VIS spectra. Therefore, a single XeCl laser provokes the desired transitions of the chemo-drugs of interest at 308 nm. It is shown that LIF spectra are strongly dependent on the fluorophore concentration giving rise to the sensible red shift. This happens when large overlapping area appears between absorption and emission spectra accordingly. The red shift is taken into account as a characteristic parameter of a certain chemo-drug. The fluorescence extinction (α) and self-quenching (k) coefficients are determined based on the best fitting of the adopted Lambert-Beer equation over experimental data. The quantum yield of each chemo-drug is also measured using the linearity of the absorption and emission rates.

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Section: Introductionmentioning

confidence: 99%

Fluorescence properties of several chemotherapy drugs: doxorubicin, paclitaxel and bleomycin

Motlagh

Parvin

Ghasemi

et al. 2016

Biomed. Opt. Express

139

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“…The spectra were measured in the range from 400 to 2200 cm −1 . To reduce noise and thermal fluctuation and improve the signal noise ratio, accumulate acquisition mode was used [15].…”

Section: Raman Spectrum Measurementmentioning

confidence: 99%

Optical diagnostic of hepatitis B (HBV) and C (HCV) from human blood serum using Raman spectroscopy

Anwar

Firdous

2015

Laser Phys. Lett.

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Hepatitis is the second most common disease worldwide with half of the cases arising in the developing world. The mortality associated with hepatitis B and C can be reduced if the disease is detected at the early stages of development. The aim of this study was to investigate the potential of Raman spectroscopy as a diagnostic tool to detect biochemical changes accompanying hepatitis progression. Raman spectra were acquired from 20 individuals with six hepatitis B infected patients, six hepatitis C infected patients and eight healthy patients in order to gain an insight into the determination of biochemical changes for early diagnostic. The human blood serum was examined at a 532 nm excitation laser source. Raman characteristic peaks were observed in normal sera at 1006, 1157 and 1513 cm −1 , while in the case of hepatitis B and C these peaks were found to be blue shifted with decreased intensity. New Raman peaks appeared in HBV and HCV infected sera at 1194, 1302, 844, 905, 1065 and 1303 cm −1 respectively. A Mat lab subroutine and frequency domain filter program is developed and applied to signal processing of Raman scattering data. The algorithms have been successfully applied to remove the signal noise found in experimental scattering signals.The results show that Raman spectroscopy displays a high sensitivity to biochemical changes in blood sera during disease progression resulting in exceptional prediction accuracy when discriminating between normal and malignant. Raman spectroscopy shows enormous clinical potential as a rapid non-invasive diagnostic tool for hepatitis and other infectious diseases.

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“…Polarimetry comprises a set of non-invasive techniques [1] based on the measuring and comprehension of the different inherent polarized light-matter interaction properties of samples. These methods compound a very useful tool for its application in biomedical applications [2][3][4][5][6], for instance to early diagnose breast cancer [6] and skin cancer [7,8] among others [9], providing constitutive information of the biological structures of different tissues [10][11][12][13][14] and for curative processes [15][16][17]. Additionally, when looking for both quantitative and qualitative information of biological samples, an important polarimetric analysis is the so-called Polarization Gating (PG), which provides an enhance of the sample's intensity image contrast when using controlled polarized illumination channels [11].…”

Section: Introductionmentioning

confidence: 99%

Indices of polarimetric purity: application in biological tissues

Rodríguez¹,

Eeckhout

García-Caurel³

et al. 2021

Polarized Light and Optical Angular Momentum for Biomedical Diagnostics

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Complete characterization of biological samples is of potential interest in different industrial and research areas, as for instance, in biomedical applications, for the recognition of organic structures or for the early detection of some diseases. During the last decades, polarimetric methods are experiencing an increase of attention in the study of biomedical tissues, and they are nowadays used in such framework to provide qualitative (polarimetric imaging) and quantitative (data processing) information for the studied samples. Polarimetric methods are based on the analysis of polarization modifications produced by light-matter interactions which can be triggered by a number of complex internal processes but can be roughly understood as the result of the combination of three pure polarimetric features of the sample: its diattenuation, retardance and depolarization. For the analysis of the depolarization content, we propose the use of the Indices of Polarimetric Purity (IPP) to describe the sample behavior. Related with the randomness of the scattering processes, IPPs provide more information of depolarizing systems than the widely used depolarization index (𝑃 ∆ ), which further synthetize the depolarization content of samples. Moreover, certain combinations of IPP parameters leads to 𝑃 ∆ . As a result, IPPs allow the revelation of some structures from tissue samples hidden in regular intensity images of even in the 𝑃 ∆ channel, leading to better tissue classification results. In this work, we present different applications of IPPs in biomedical tissue that show its potential, which are not restricted to the biomedical framework as relevant results in plants characterization are also presented.

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Optical diagnostic of breast cancer using Raman, polarimetric and fluorescence spectroscopy

Cited by 17 publications

References 29 publications

Fluorescence properties of several chemotherapy drugs: doxorubicin, paclitaxel and bleomycin

Fluorescence properties of several chemotherapy drugs: doxorubicin, paclitaxel and bleomycin

Optical diagnostic of hepatitis B (HBV) and C (HCV) from human blood serum using Raman spectroscopy

Indices of polarimetric purity: application in biological tissues

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