Application of mid‐infrared microscopic imaging for the diagnosis and classification of human lymphomas-Reference-Cited by-同舟云学术

Application of mid‐infrared microscopic imaging for the diagnosis and classification of human lymphomas

Published:2021-06-29 Issue:9 Volume:14 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Willenbacher Ella¹,Brunner Andrea²,Zelger Bettina²,Unterberger Seraphin H.³^ORCID,Stalder Roland⁴^ORCID,Huck Christian W.⁵^ORCID,Willenbacher Wolfgang¹⁶,Pallua Johannes D.²⁷^ORCID

Affiliation:

1. Internal Medicine V: Hematology & Oncology Medical University of Innsbruck Innsbruck Austria

2. Institute of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck Innsbruck Austria

3. Material‐Technology, Leopold‐Franzens University Innsbruck Innsbruck Austria

4. Institute of Mineralogy and Petrography, Leopold‐Franzens University Innsbruck Innsbruck Austria

5. Institute of Analytical Chemistry and Radiochemistry Innsbruck Austria

6. Oncotyrol, Center for personalized Cancer Medicine Innsbruck Austria

7. University Hospital for Orthopedics and Traumatology, Medical University of Innsbruck Innsbruck Austria

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202100079

Reference70 articles.

1. Fourier transform infrared imaging as a method for detection of HLA class I expression in melanoma without the use of antibody

2. Fourier transform infrared imaging analysis in discrimination studies of squamous cell carcinoma

3. Diagnosis of Gastric Inflammation and Malignancy in Endoscopic Biopsies Based on Fourier Transform Infrared Spectroscopy

4. Diagnosing benign and malignant lesions in breast tissue sections by using IR-microspectroscopy

5. Distinction of cervical cancer biopsies by use of infrared microspectroscopy and probabilistic neural networks

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