Distinguishing cell types or populations based on the computational analysis of their infrared spectra (Q58414882)

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15 January 2020

title

Distinguishing cell types or populations based on the computational analysis of their infrared spectra (English)

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15 January 2020

main subject

infrared spectroscopy

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7

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15 January 2020

author name string

Francis L Martin

1

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15 January 2020

Jemma G Kelly

2

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15 January 2020

Valon Llabjani

3

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15 January 2020

Pierre L Martin-Hirsch

4

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15 January 2020

Imran I Patel

5

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15 January 2020

Júlio Trevisan

6

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15 January 2020

Michael J Walsh

8

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15 January 2020

publication date

7 October 2010

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15 January 2020

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15 January 2020

volume

5

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issue

11

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page(s)

1748-1760

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Discrimination of base differences in oligonucleotides using mid-infrared spectroscopy and multivariate analysis

15 January 2020

cites work

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IR microspectroscopy: potential applications in cervical cancer screening

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Infrared spectroscopy with multivariate analysis potentially facilitates the segregation of different types of prostate cell

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Fourier transform infrared microspectroscopy identifies symmetric PO(2)(-) modifications as a marker of the putative stem cell region of human intestinal crypts

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RMieS-EMSC correction for infrared spectra of biological cells: extension using full Mie theory and GPU computing

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Resonant Mie scattering (RMieS) correction of infrared spectra from highly scattering biological samples

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Resonant Mie scattering in infrared spectroscopy of biological materials--understanding the 'dispersion artefact'.

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Two step resonant Mie scattering correction of infrared micro-spectral data: human lymph node tissue

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Metabolic fingerprinting as a diagnostic tool.

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Tracking the cell hierarchy in the human intestine using biochemical signatures derived by mid-infrared microspectroscopy

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A three-dimensional multivariate image processing technique for the analysis of FTIR spectroscopic images of multiple tissue sections.

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Cytology by Infrared Micro-Spectroscopy: Automatic Distinction of Cell Types in Urinary Cytology

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FTIR-based spectroscopic analysis in the identification of clinically aggressive prostate cancer.

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Infrared micro-spectral imaging: distinction of tissue types in axillary lymph node histology

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Detection of breast micro-metastases in axillary lymph nodes by infrared micro-spectral imaging

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Polybrominated diphenyl ether-associated alterations in cell biochemistry as determined by attenuated total reflection Fourier-transform infrared spectroscopy: a comparison with DNA-reactive and/or endocrine-disrupting agents

21 January 2018

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Discrimination of a transformation phenotype in Syrian golden hamster embryo (SHE) cells using ATR-FTIR spectroscopy

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Derivation of a subtype-specific biochemical signature of endometrial carcinoma using synchrotron-based Fourier-transform infrared microspectroscopy

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Identifying variables responsible for clustering in discriminant analysis of data from infrared microspectroscopy of a biological sample

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Discriminating nevus and melanoma on paraffin-embedded skin biopsies using FTIR microspectroscopy.

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Spatial resolution in infrared microspectroscopic imaging of tissues

21 January 2018

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Chemical imaging of biological tissue with synchrotron infrared light

21 January 2018

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Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions

21 January 2018

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Microspectroscopy of spectral biomarkers associated with human corneal stem cells

21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/21030951

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

FTIR Microspectroscopy Coupled with Two-Class Discrimination Segregates Markers Responsible for Inter- and Intra-Category Variance in Exfoliative Cervical Cytology

1 reference

PubMed

https://pubmed.ncbi.nlm.nih.gov/21030951

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.1038/NPROT.2010.133

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:21030951 AND SRC:MED&resulttype=core&format=json

15 January 2020

1 reference