Spectroscopy Techniques in Biomedical and Chemical Research

Raman spectral signatures reflect altered metabolic state of exhausted T cells

This study uses single-cell Raman spectroscopy to identify metabolic differences between activated and exhausted CD8+ T cells, showing its potential for immune profiling.

Vibrational optoacoustic detection of lipid-membrane dynamics enables label-free imaging of cell membrane potential

This paper introduces MIRACLES, a method to image cell membrane potential dynamics using vibrational optoacoustic detection, and demonstrates its application in monitoring glucose-stimulated insulin secretion in beta-cells.

Label-Free Live Cell Type Prediction by Integrating Raman Spectroscopy and Machine Learning

This paper uses Raman spectroscopy and machine learning to classify brain tumor cell types at single-cell resolution, achieving high accuracy in distinguishing IDH1 mutation status and histological subtypes.

Label-Free AI-Classification of Subcellular Organelles Based on Optical Photothermal Infrared Images

This paper uses machine learning to classify subcellular organelles from infrared images, achieving accurate identification of several organelles but not all.

TRaP: An Open-source, Reproducible Framework for Raman Spectral Preprocessing across Heterogeneous Systems

TRaP provides an open-source framework for reproducible Raman spectral preprocessing across different systems, enabling consistent and transparent analysis workflows.

Rapid quantification of short-chain fatty acids by Fourier-transform infrared spectroscopy for microbiota quality assessment

This study uses Fourier-transform infrared spectroscopy to rapidly assess stool sample quality by detecting short-chain fatty acids, distinguishing healthy from dysbiotic samples caused by Clostridioides difficile infection.

Mid-Infrared absorption coefficients of human skin stratum corneum

The paper measures mid-infrared absorption coefficients of human stratum corneum in ex vivo and in vitro models, showing transparency in the molecular fingerprint region under high humidity.

Deep Learning-Augmented Stimulated Raman Imaging for Cell-Type-Specific Metabolic Profiling in Live Neuronal Co-Cultures

This paper develops a deep learning-augmented SRS imaging method to profile metabolism in live neuronal co-cultures, revealing cell-type-specific metabolic responses to various conditions.

Label-free Raman imaging defines distinct cell populations in human skin

This study uses label-free Raman imaging to identify distinct cell populations in human skin, revealing molecular signatures associated with specific epidermal layers and stem cell niches.

MetaboRamics: Highly multiplexed metabolic imaging by stimulated Raman for spatial metabolomics in live cells

The paper introduces MetaboRamics, a method for 16-color metabolic imaging in live cells using stimulated Raman scattering, revealing metabolic changes in EMT and under various stress conditions.

DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial Biology

DREAMER-S uses attention-based multiple-instance learning to identify spatial features in 3D imaging data for classification, achieving high F1 scores in chemotherapy response prediction.

Machine Learning-assisted Raman Spectral Analysis of Serotonin-responsive ssDNA-SWCNT Nanosensor for Improved Selectivity against Dopamine

This paper improves the selectivity of a serotonin-sensitive nanosensor using machine learning and Raman spectroscopy to distinguish serotonin from dopamine.

Challenges in Brillouin microscopy: Addressing heterogeneity and contamination for reliable biomechanical mapping of fresh brain tumors

This study evaluates Brillouin microscopy for biomechanical mapping of fresh brain tumors, identifying challenges like tissue heterogeneity and blood contamination and proposing solutions through complementary techniques.

Kidney Tissue Characterization using Normalized Raman Imaging and Segment-Anything

This paper introduces a computational pipeline combining image processing and machine learning to segment and quantify kidney tissue structures using Normalized Raman Imaging, achieving high segmentation performance.

Spectrolipidomics of glial cell lines: a deuterated probe for semiquantitative monitoring of cannabidiol-induced cholesterol modulation

This paper introduces a spectrolipidomic approach using deuterated cholesterol to monitor CBD-induced cholesterol changes in glial cells, revealing distinct metabolic pathways based on exposure timing.

Revealing global stoichiometry conservation architecture in cells from Raman spectral patterns

The paper uses Raman spectroscopy to reveal a low-dimensional stoichiometry-conserving proteome structure across bacterial and human cells, showing its role in maintaining homeostasis and enabling adaptation.

Individuality and information content of infrared molecular profiles: insights from a large longitudinal health-profiling study

This study compares the individuality and information content of infrared molecular profiles with clinical laboratory data in a longitudinal cohort, finding infrared profiles more informative for individual identification.

Simultaneous Denoising and Baseline Correction of Microplate Raman Spectra Using a Dual-Branch U-Net

This paper introduces a dual-branch U-Net for Raman baseline correction and denoising, achieving robust peak recovery and quantitative analysis on synthetic and experimental samples.

SPEND-hSRS imaging of fumarate uncovers mitochondrial metabolic heterogeneity

The paper uses SPEND-hSRS imaging to visualize fumarate in bladder cancer cells, revealing mitochondrial metabolic heterogeneity and interactions with lipid droplets.

Tumour marker analysis using a machine learning assisted vibrational spectroscopy approach

This paper develops a machine learning-assisted ATR-FTIR spectroscopy method to rapidly and label-free quantify cancer biomarkers like CA125 in clinical samples.

Barcoding biology: Chemotype predicts variation in genotype, physiology, and stress response

The paper uses chemotypes derived from FTIR spectroscopy and machine learning to predict biological variation and stress response in Drosophila melanogaster.

Label-free imaging of matrix mineralization in alginate-encapsulated bone spheroids using Coherent Raman Scattering microscopy

This study uses Coherent Raman Scattering microscopy to characterize matrix mineralization in 3D bone spheroids without labels, showing its effectiveness in detecting phosphate and collagen structures.

QUANTIFYING GLYCOGEN AND LIPID DROPLET SYNTHESIS IN OVARIAN AND CERVICAL CANCER CELLS USING DEUTERATED RAMAN PROBES WITH STIMULATED RAMAN SCATTERING MICROSCOPY

This study uses deuterated Raman probes with SRS microscopy to analyze glycogen and lipid droplet metabolism in ovarian and cervical cancer cells, revealing metabolic heterogeneity and potential diagnostic markers.

Mid-infrared chemical imaging of living cells enabled by plasmonic metasurfaces

This paper introduces a method for mid-infrared chemical imaging of living cells using plasmonic metasurfaces, enabling non-destructive, label-free imaging with sub-cellular resolution.

Effects of biological fixation methods on stimulated Raman scattering microscopy signal

This study examines how different fixation methods affect SRS microscopy signals in HeLa cells, finding that Paraformaldehyde causes less disruption than other fixatives.

Interface-Sensitive Epi-Coherent Anti-Stokes Raman Scattering Microscopy for Imaging Cell Adhesion Dynamics

This paper introduces epi-CARS microscopy to image cell adhesion dynamics with high resolution, revealing adhesion site splitting and heterogeneous adhesion patterns during mitosis and postmitotic spreading.

Mid-Infrared Photothermal Imaging Unveils Altered Stearoyl-CoA desaturase (SCD) Activity in Ovarian Cancer Cells

This study uses mid-infrared photothermal imaging to measure SCD activity in ovarian cancer cells and finds altered activity in treated cells and cancer stem cells.

Rapid residual bead quantification for cell therapy manufacturing using Raman spectroscopy

This paper develops a Raman spectroscopy method to rapidly and accurately quantify residual immunomagnetic beads in cell therapy manufacturing.

Analysis of intracellular fatty acid metabolism during Doxorubicin induced senescence of MCF7 cells using Raman Imaging

This study uses Raman imaging to analyze lipid and arachidonic acid metabolism changes in MCF7 cells during doxorubicin-induced senescence, revealing metabolic remodeling and COX2-dependent AA turnover.

RamEx: An R package for high-throughput microbial ramanome analyses with accurate quality assessment

RamEx is an R package for high-throughput microbial ramanome analysis with quality assessment and classification, achieving high accuracy in anomaly detection and phenotyping.