A New Diagnosis Tool of Cancer by Spectroscopic Analysis-Second Edition
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 845
Special Issue Editors
Interests: FT-IR microscopy; cancer imaging; fluorescence spectroscopy; far infrared spectroscopy
Special Issues, Collections and Topics in MDPI journals
Interests: electron paramagnetic resonance; electron spin resonance; free radical; reactive oxygen species; oxidative stress; magnetic resonance imaging; spectral-spatial imaging; redox imaging; oxygen; oxymetry; oxygen mapping; radiation chemistry; particle beam; heavy-ion beam
Special Issue Information
Dear Colleagues,
Diagnosis of human cancer by pathologists has been based on the hematoxylin–eosin (HE) stain for the last 140 years. Recently, however, many new kinds of spectroscopic analysis have suddenly been developed, especially in the field of the infrared region with laser and algorithm data analysis technologies, similar to a type of nuclear magnetic resonance imaging (MRI). Conventional staining is performed using innovative tools such as MRI, which can quantitatively visualize biological components in fresh tissue (frozen sections) and visualize seismic components in the invisible infrared region. We have planned the second edition of this Special Issue in order to break the jinx that a diagnosis cannot be made unless a diagnosis is made.
Spectroscopic analysis technology does not involve stain treatment of the slice of cancer tissue, especially raw tissue by Raman, Fourier transform infrared (FT-IR), and mass spectroscopic microscopes. In the raw tissue sample, no artificial image information on lipids, protein secondary conformation, or water molecules in cancerous patients is missed with HE, as with MRI.
This Special Issue will identify the spectroscopic parameters dependent on cancer stages, malignancies, and how to respond to the many kinds of differentiations of the morphological parameters for each cancer case in the future with the help of analysis techniques of an algorithm, chemometric analysis, and a fractal theory to solve image correlation and/or similarity of HE stains.
Prof. Dr. Norio Miyoshi
Dr. Ken-ichiro Matsumoto
Dr. Bibin B. Andriana
Guest Editors
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Keywords
- FT-IR microscope
- FT-IR markers of cancer
- mapping images
- HE stained
- images
- water molecule distribution
- T2-MRI
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Related Special Issue
- A New Diagnosis Tool of Cancer by Spectroscopic Analysis in Molecules (5 articles)
