Cameron et al., 2022 - Google Patents
Clinical spectroscopy: lost in translation?Cameron et al., 2022
View PDF- Document ID
- 15626729329032554460
- Author
- Cameron J
- Rinaldi C
- Rutherford S
- Sala A
- G. Theakstone A
- Baker M
- Publication year
- Publication venue
- Applied Spectroscopy
External Links
Snippet
This Focal Point Review paper discusses the developments of biomedical Raman and infrared spectroscopy, and the recent strive towards these technologies being regarded as reliable clinical tools. The promise of vibrational spectroscopy in the field of biomedical …
- 238000004611 spectroscopical analysis 0 title description 8
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
- G01N2021/653—Coherent methods [CARS]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
- G01N21/658—Raman scattering enhancement Raman, e.g. surface plasmons
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/645—Specially adapted constructive features of fluorimeters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating the spectrum
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Su et al. | Fourier transform infrared spectroscopy as a cancer screening and diagnostic tool: A review and prospects | |
| Pahlow et al. | Application of vibrational spectroscopy and imaging to point-of-care medicine: A review | |
| Riva et al. | Glioma biopsies classification using Raman spectroscopy and machine learning models on fresh tissue samples | |
| Cameron et al. | Clinical spectroscopy: lost in translation? | |
| Wang et al. | Fourier transform infrared spectroscopy in oral cancer diagnosis | |
| Cialla-May et al. | Raman spectroscopy and imaging in bioanalytics | |
| Bunaciu et al. | Vibrational spectroscopy in clinical analysis | |
| Baker et al. | Clinical applications of infrared and Raman spectroscopy: state of play and future challenges | |
| De Bruyne et al. | Applications of mid-infrared spectroscopy in the clinical laboratory setting | |
| Bunaciu et al. | Applications of FT-IR spectrophotometry in cancer diagnostics | |
| Tiwari et al. | Towards translation of discrete frequency infrared spectroscopic imaging for digital histopathology of clinical biopsy samples | |
| Dixon et al. | Using machine learning and silver nanoparticle-based surface-enhanced raman spectroscopy for classification of cardiovascular disease biomarkers | |
| Guo et al. | Fast and deep diagnosis using blood-based ATR-FTIR spectroscopy for digestive tract cancers | |
| Gautam et al. | Feature selection and rapid characterization of bloodstains on different substrates | |
| Bury et al. | Discrimination of fresh frozen non-tumour and tumour brain tissue using spectrochemical analyses and a classification model | |
| Lloyd et al. | Method for identification of spectral targets in discrete frequency infrared spectroscopy for clinical diagnostics | |
| Goormaghtigh | Infrared imaging in histopathology: is a unified approach possible? | |
| Chatchawal et al. | Detection of human cholangiocarcinoma markers in serum using infrared spectroscopy | |
| Ospanov et al. | Optical differentiation of brain tumors based on raman spectroscopy and cluster analysis methods | |
| Bogomolov et al. | Synergy effect of combining fluorescence and mid infrared fiber spectroscopy for kidney tumor diagnostics | |
| Kujdowicz et al. | FTIR spectroscopic imaging supports urine cytology for classification of low-and high-grade bladder carcinoma | |
| Synytsya et al. | Ex vivo vibration spectroscopic analysis of colorectal polyps for the early diagnosis of colorectal carcinoma | |
| Jeng et al. | Raman spectral characterization of urine for rapid diagnosis of acute kidney injury | |
| Hano et al. | Power of light: raman spectroscopy and machine learning for the detection of lung cancer | |
| Artemyev et al. | Using the method of “optical biopsy” of prostatic tissue to diagnose prostate cancer |