Raman spectroscopy and imaging: applications in human breast cancer diagnosis

The Analyst ◽  
2012 ◽  
Vol 137 (16) ◽  
pp. 3773 ◽  
Author(s):  
Beata Brozek-Pluska ◽  
Jacek Musial ◽  
Radzislaw Kordek ◽  
Elena Bailo ◽  
Thomas Dieing ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Human Breast Cancer ◽  
Breast Cancer Diagnosis ◽  
Human Breast

Capture of Very Rare Circulating Tumor Cells for Human Breast Cancer Diagnosis

2007 ◽  
Author(s):  
Taehyun Park ◽  
Timothy Jensen ◽  
Daniel Park ◽  
Jason Guy ◽  
Proyag Datta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Cancer Diagnosis ◽  
Human Breast Cancer ◽  
Microfluidic Channel ◽  
Breast Cancer Diagnosis ◽  
Breast Cancer Cell Lines ◽  
Target Cells ◽  
Human Breast

A method of collecting and delivering single or precise numbers of cells to assess the feasibility of capturing very rare circulating tumor cells for human breast cancer diagnosis and monitoring was developed. A PMMA device was assembled with minimal assembly variation using passive alignment. Thermoplastic fusion bonding was optimized to yield minimal deformation of the microfluidic channel. UV modification and an anti-epithelial cell adhesion molecule (anti-EpCAM) functionalization process were used to generate capture surfaces and maximized by control experiment. Single or precise numbers of target cells were collected using a cell collecting capillary tube and a hemacytometer and delivered into the microchannel without any loss. Cells from one of the human breast cancer cell lines, the MCF-7 cell line (ATCC, Manassas, VA) which strongly overexpresses EpCAM, were successfully captured on the anti-EpCAM coated microchannel surfaces. Successful capture of early stage breast cancer cells in whole blood may be feasible with further optimization of the microchannel geometry and flow velocity through the microfluidic device.

Development of a compact laser-diode based frequency domain photoacoustic sensing system: Application of human breast cancer diagnosis

2019 ◽  
Vol 90 (11) ◽  
pp. 114101
Author(s):  
Abhijeet Gorey ◽  
Srivathsan Vasudevan ◽  
M. S. Ansari ◽  
Priyanka Bhagat ◽  
Satish Phatak ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Frequency Domain ◽  
Laser Diode ◽  
Cancer Diagnosis ◽  
System Application ◽  
Human Breast Cancer ◽  
Breast Cancer Diagnosis ◽  
Human Breast ◽  
Sensing System

Raman Spectroscopy and Fluorescence Photon Migration for Breast Cancer Diagnosis and Imaging

1998 ◽  
Vol 67 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Ramasamy Manoharan ◽  
Karen Shafer ◽  
Lev Perelman ◽  
Jun Wu ◽  
Kun Chen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Photon Migration ◽  
Fluorescence Photon

scholarly journals The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Pin Gao ◽  
Bing Han ◽  
Ye Du ◽  
Gang Zhao ◽  
Zhigang Yu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cellular Level ◽  
Clinical Tool ◽  
Normal Tissues ◽  
Surface Enhanced Raman

Raman spectroscopy has been widely used as an important clinical tool for real-time in vivo cancer diagnosis. Raman information can be obtained from whole organisms and tissues, at the cellular level and at the biomolecular level. The aim of this paper is to review the newest developments of Raman spectroscopy in the field of breast cancer diagnosis and treatment. Raman spectroscopy can distinguish malignant tissues from noncancerous/normal tissues and can assess tumor margins or sentinel lymph nodes during an operation. At the cellular level, Raman spectra can be used to monitor the intracellular processes occurring in blood circulation. At the biomolecular level, surface-enhanced Raman spectroscopy techniques may help detect the biomarker on the tumor surface as well as evaluate the efficacy of anticancer drugs. Furthermore, Raman images reveal an inhomogeneous distribution of different compounds, especially proteins, lipids, microcalcifications, and their metabolic products, in cancerous breast tissues. Information about these compounds may further our understanding of the mechanisms of breast cancer.

Certain Study on Improvement of Bandwidth in 3GHz Microstrip Patch Antenna Designs and Implemented on Monostatic Radar Approach for Breast Cancer Diagnosis in Microwave Imaging System

2015 ◽  
Vol 25 (02) ◽  
pp. 1650006 ◽  
Author(s):  
K. Sakthisudhan ◽  
N. Saravana Kumar
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Imaging System ◽  
Breast Cancer Diagnosis ◽  
Patch Antennas ◽  
Human Breast ◽  
Test Bed ◽  
Microstrip Patch Antennas ◽  
Microstrip Patch ◽  
Tumor Tissues

A 3[Formula: see text]GHz class of an EF and [Formula: see text] shaped Microstrip Patch Antennas (MPAs) designed, simulated and fabricated has been presented in this paper. These simulated designs with appropriate parameters are implemented on the fabrication prototypes which have been validated with help of Agilent Microwave Analyzer (N99917A). These proposed MPAs and dielectric equivalent human breast model that have been validated using the different dielectric strengths of coupling mediums are presented. These MPAs and dielectric equivalent human breast model have been validated using the existing Debye test bed. The coverage and vector dimension of tumor tissues have been detected using the Monostatic radar approach in the EF and [Formula: see text] shaped MPAs-based existing Debye test bed setups. This paper conclude that Fractional Bandwidth (FBW) of EF shaped MPA is 26.79% greater than [Formula: see text] shaped MPA of 21.67%. Hence, the EF and [Formula: see text] shaped MPAs prototypes are suitable for breast cancer diagnosis systems. The prototypes’ depth, coverage and vector dimensions are presented in this paper.

scholarly journals Raman spectroscopy: current applications in breast cancer diagnosis, challenges and future prospects

2021 ◽  
Author(s):  
Katie Hanna ◽  
Emma Krzoska ◽  
Abeer M. Shaaban ◽  
David Muirhead ◽  
Rasha Abu-Eid ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Future Prospects
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