Spectroscopy Techniques in Biomedical and Chemical Research

This paper introduces an oblique photothermal microscope (OPTM) for ultrasensitive in vivo IR spectroscopic imaging with sub-micron resolution, enabling low-dose imaging of skin and tracking of topical drugs.

This study uses stimulated Raman scattering microscopy to rapidly and label-free monitor apoptotic and necrotic transitions in CHO cells, identifying distinct subpopulations and responses to stressors.

This paper compares Raman and NanoSIMS for measuring 2H incorporation in E. coli cells, showing they yield comparable results with specific mass ratios offering different advantages.

This paper uses single-cell Raman spectroscopy and machine learning to predict therapeutic response in melanoma, achieving >96% accuracy in cell line classification and 91% accuracy in patient drug resistance inference.

This paper uses label-free imaging to analyze biomolecular and morphological features of diabetic kidney tissue in 2D and 3D, revealing distinct markers not previously observed.

This study determines the limit of detection of Raman spectroscopy for polystyrene particles in aqueous suspensions, showing its potential for detecting small particles like viruses.

This study evaluates OPTIR for biological imaging, showing multifrequency imaging matches hyperspectral imaging speed and demonstrating IR probe utility across cell lines and organisms.

This paper detects field cancerization in human breast tissue using Raman hyperspectral imaging and artificial neural networks, achieving high accuracy in distinguishing cancerous from noncancerous spectra.

This paper introduces a Raman flow cytometry system using time-delay integration and dual-sided line illumination, achieving high throughput for cell and particle detection.

This study uses Raman and TEM to show whitlockite and carbonated hydroxyapatite in calcified aortic valves, challenging existing calcification models.

The paper introduces CIIST, a single-cell Raman imaging technique to visualize purine and pyrimidine metabolism by tracking carbon isotope enrichment and spectral tracing.

This paper develops a rapid Raman spectroscopy-based test for antimicrobial resistance that determines minimal inhibitory concentrations in 1.5 hours, validated against traditional Etest methods.

This paper introduces a novel laser system for SRS microscopy that achieves 10x faster imaging and color-tuning compared to standard systems.

This paper introduces a neural network model to rapidly predict protein secondary structure from discrete frequency infrared images, significantly reducing data acquisition and analysis time.

This paper introduces WF-BonFIRE, a wide-field bond-selective fluorescence imaging technique that achieves single-molecule sensitivity and kilohertz speeds for live-cell and bacterial imaging.

This study uses Raman spectroscopy and data-driven models to classify fungal conidia at the species level, achieving high precision with XGBoost.

The paper develops a method to detect brain cancer metastasis in mice using wide-volume Raman spectroscopy through a single tapered fiber with high accuracy.

TRAM integrates multiple Raman techniques to enhance optical biosensing through data fusion, improving classification accuracy of leukocyte subtypes.

This paper introduces a label-free method using coherent Raman microscopy to detect nucleolar defects associated with cellular senescence by analyzing amide I peak shifts in nucleoli.

CODI improves ML model generalization by integrating synthetic out-of-distribution data into molecular fingerprint datasets, enhancing classification accuracy in longitudinal clinical studies.

The paper uses machine learning to analyze mid-infrared spectra for collagen detection in pancreatic tissues, achieving high accuracy compared to SHG microscopy.

This study validates Raman spectroscopy and imaging as a method for HER2 quantification in breast cancer cells, showing strong correlation with IHC and potential for improved patient selection for targeted therapy.

This study uses Raman spectroscopy to detect sepsis in burn patients by analyzing plasma-derived extracellular vesicles, achieving high sensitivity and specificity.

This study compares drug uptake and response in 2D and 3D cell cultures using SRS microscopy, finding that 3D spheroids show greater drug tolerance despite similar intracellular drug levels.

This study uses FT-IR micro-spectroscopy to analyze the spatial distribution of extracellular matrix components in biofilms, identifying polysaccharide and protein gradients and their correlations.

This paper demonstrates click-free imaging of carbohydrate trafficking in live cells using azido photothermal probes, revealing trehalose recycling and protein interactions in mycobacteria and other organisms.

This paper uses NIR fluorescence and Raman microscopy combined with machine learning to identify macrophage phenotypes based on DNA-SWCNT interactions, achieving >95% accuracy.

This paper evaluates Raman microspectroscopy as a method to measure microbial growth rates using deuterium incorporation, showing its reliability and comparison with nanoSIMS.

This study compares FTIR spectroscopy with conventional cytomorphology and automated cell counting for detecting CNS involvement in pediatric leukemia, finding FTIR to be more sensitive in identifying biochemical markers.

This paper introduces a shortwave infrared Raman imaging technique that enables label-free, high-contrast visualization of tissue composition and pathology without contrast agents.