Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning
Many problems exist within the myriad of currently employed screening and diagnostic
methods. Further, an incredibly wide variety of procedures are used to identify an even …
methods. Further, an incredibly wide variety of procedures are used to identify an even …
Ratiometric optical nanoprobes enable accurate molecular detection and imaging
Exploring and understanding biological and pathological changes are of great significance
for early diagnosis and therapy of diseases. Optical sensing and imaging approaches have …
for early diagnosis and therapy of diseases. Optical sensing and imaging approaches have …
Real-time molecular imaging of near-surface tissue using Raman spectroscopy
The steady progress in medical diagnosis and treatment of diseases largely hinges on the
steady development and improvement of modern imaging modalities. Raman spectroscopy …
steady development and improvement of modern imaging modalities. Raman spectroscopy …
Nonlinear optical microscopy: From fundamentals to applications in live bioimaging
A recent challenge in the field of bioimaging is to image vital, thick, and complex tissues in
real time and in non-invasive mode. Among the different tools available for diagnostics …
real time and in non-invasive mode. Among the different tools available for diagnostics …
Comparison of surface enhanced Raman spectroscopy and Raman spectroscopy for the detection of breast cancer based on serum samples
In this study, surface enhanced Raman spectroscopy (SERS) and Raman spectroscopy
(RS), are employed for the classification of different stages of breast cancer using clinically …
(RS), are employed for the classification of different stages of breast cancer using clinically …
Clinical applications of infrared and Raman spectroscopy: state of play and future challenges
Vibrational spectroscopies, based on infrared absorption and/or Raman scattering provide a
detailed fingerprint of a material, based on the chemical content. Diagnostic and prognostic …
detailed fingerprint of a material, based on the chemical content. Diagnostic and prognostic …
Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue …
Significance Standardized data processing approaches are required in the field of bio-
Raman spectroscopy to ensure information associated with spectral data acquired by …
Raman spectroscopy to ensure information associated with spectral data acquired by …
Raman spectroscopy and imaging for cancer diagnosis
S Cui, S Zhang, S Yue - Journal of healthcare engineering, 2018 - Wiley Online Library
Raman scattering has long been used to analyze chemical compositions in biological
systems. Owing to its high chemical specificity and noninvasive detection capability, Raman …
systems. Owing to its high chemical specificity and noninvasive detection capability, Raman …
Machine learning of Raman spectroscopy data for classifying cancers: a review of the recent literature
Raman Spectroscopy has long been anticipated to augment clinical decision making, such
as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far …
as classifying oncological samples. Unfortunately, the complexity of Raman data has thus far …
Advancing Raman spectroscopy from research to clinic: Translational potential and challenges
Raman spectroscopy has emerged as a non-invasive and versatile diagnostic technique
due to its ability to provide molecule-specific information with ultrahigh sensitivity at near …
due to its ability to provide molecule-specific information with ultrahigh sensitivity at near …