Optimized preprocessing and machine learning for quantitative Raman spectroscopy in biology-Reference-Cited by-同舟云学术

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Optimized preprocessing and machine learning for quantitative Raman spectroscopy in biology

Published:2019-05-08 Issue: Volume: Page:
ISSN:0377-0486
Container-title:Journal of Raman Spectroscopy
language:en
Short-container-title:J Raman Spectrosc

Author:

Storey Emily E.¹^ORCID,Helmy Amr S.¹^ORCID

Affiliation:

1. Department of Electrical and Computer EngineeringUniversity of Toronto Toronto Canada

Funder

Semiconductor Research Corporation

Publisher

Wiley

Subject

Spectroscopy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrs.5608

Reference36 articles.

1. Raman spectroscopy for medical diagnostics — From in-vitro biofluid assays to in-vivo cancer detection

2. Blood analysis by Raman spectroscopy

3. Recent developments in optofluidic-assisted Raman spectroscopy

4. Principal component analysis: a review and recent developments

5. Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data

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1. Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms;Molecules;2024-02-29

2. Label-free Raman microspectroscopic imaging with chemometrics for cellular investigation of apple ring rot and nondestructive early recognition using near-infrared reflection spectroscopy with machine learning;Talanta;2024-01

3. Extended Analysis of Raman Spectra Using Artificial Intelligence Techniques for Colorectal Abnormality Classification;Journal of Imaging;2023-11-24

4. Experimental Validation of Iterative Learning Control for DC/DC Power Converters;Energies;2023-09-12

5. Determination of stem cell pluripotency in spent cultivation media by Raman spectroscopy;Journal of Raman Spectroscopy;2023-05-05

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