Spectroscopy Techniques in Biomedical and Chemical Research

Identification of Three Medically Important Mosquito Species Using Raman Spectroscopy

This paper uses Raman spectroscopy combined with discriminant analysis to classify three mosquito species with high accuracy.

Infrared Spectroscopy for Structure Analysis of Protein Inclusion Bodies

This paper discusses the application of infrared spectroscopy for analyzing protein inclusion bodies, covering spectral acquisition, data processing, and secondary structure evaluation.

Photizo: an open-source library for cross-sample analysis of FTIR spectroscopy data

Photizo is an open-source Python library for analyzing FTIR spectroscopy data, offering pre-processing, visualization, and analysis tools for both non-spatial and spatially-resolved datasets.

Rapid Biomarker Screening of Alzheimer's Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy

This paper develops a platform combining graphene-assisted Raman spectroscopy and machine learning to rapidly screen Alzheimer's disease biomarkers in mouse brains, achieving 98% classification accuracy.

In Vivo Simultaneous Nonlinear Absorption Raman and Fluorescence (SNARF) Imaging of Mouse Brain Cortical Structures

This study introduces a SNARF microscope combining SRS and TAM for in vivo brain imaging, achieving high depth and enabling label-free analysis of cortical structures and cell identities.

Optical photothermal infrared spectroscopy can differentiate equine osteoarthritic plasma extracellular vesicles from healthy controls

Raman2RNA: Live-cell label-free prediction of single-cell RNA expression profiles by Raman microscopy

Raman2RNA predicts single-cell RNA expression profiles from live-cell Raman microscopy images using machine learning, achieving high accuracy in tracking cell state transitions during reprogramming.

Marker-free imaging of α-Synuclein aggregates in a rat model of Parkinson' disease using Raman microspectroscopy

This study uses Raman microspectroscopy to detect α-Synuclein aggregates in a rat model of Parkinson's disease, showing promise for early diagnosis.

Super-Resolution Label-free Volumetric Vibrational Imaging

This paper introduces VISTA, a label-free vibrational imaging technique that achieves high-resolution imaging of biological structures with 82 nm resolution and enables unbiased, high-throughput tissue analysis.

Discrimination of melanoma cell lines with Fourier Transform Infrared (FTIR) spectroscopy

This study uses FTIR spectroscopy to differentiate three melanoma cell lines with high accuracy using PLS-DA modeling.

Determining the stages of cellular differentiation using Deep Ultraviolet Resonance Raman Spectroscopy

This study uses deep ultraviolet resonance Raman spectroscopy to distinguish stages of cellular differentiation in myoblast cells.

Following embryonic stem cells, their differentiated progeny, and cell-state changes during iPS reprogramming by Raman spectroscopy

This study uses Raman spectroscopy to monitor cell state transitions during iPS reprogramming in mouse stem cells, identifying biomarkers and dynamics at the single-cell level.

Raman spectroscopy-based measurements of single-cell phenotypic diversity in microbial communities

This paper quantifies single-cell phenotypic diversity in microbial communities using Raman spectroscopy and the Hill diversity framework to study stress-induced changes.

Salivary molecular spectroscopy: a rapid and non-invasive monitoring tool for diabetes mellitus during insulin treatment

This study uses ATR-FTIR spectroscopy to identify salivary biomarkers for diabetes monitoring in rats, achieving high accuracy in classification and correlation with glycemia.

Automated osteosclerosis grading of clinical biopsies using infrared spectroscopic imaging

This paper introduces a method using infrared spectroscopic imaging to automate and quantify osteosclerosis grading in clinical biopsies, improving accuracy over traditional histological methods.

Label-free characterization of Amyloid-β-plaques and associated lipids in brain tissues using stimulated Raman scattering microscopy

This study uses stimulated Raman scattering microscopy to characterize amyloid-β plaques and associated lipids in AD mouse brain tissue, revealing structural and compositional features of pathological deposits.

Spectroscopy and Machine Learning Based Rapid Point-of-Care Assessment of Core Needle Cancer Biopsies

This paper uses optical spectroscopy and machine learning to rapidly identify malignant tissue in cancer biopsies, achieving high sensitivity and specificity.

Deep representation learning for domain adaptable classification of infrared spectral imaging data

This paper develops a deep learning method for preprocessing infrared spectral imaging data using stacked contractive autoencoders, enabling domain-adaptable classification across different tissue types.

Transcriptomes and Raman spectra are linked linearly through a shared low-dimensional subspace

The paper links Raman spectra and transcriptomes through a shared low-dimensional subspace, enabling reconstruction of gene expression profiles from Raman data.