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Related Experiment Video

Updated: Jul 1, 2025

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

Label-Free, Noninvasive Bone Cell Classification by Hyperspectral Confocal Raman Microscopy.

Zachary T Piontkowski¹, Dulce C Hayes², Anthony McDonald¹

¹Sandia National Laboratories, Department of Applied Optics and Plasma Sciences, 1515 Eubank Blvd. SE, Albuquerque, New Mexico 87123, United States.

Chemical & Biomedical Imaging

|March 1, 2024

Summary

This summary is machine-generated.

Hyperspectral Raman microscopy offers a label-free method to identify bone and cancer cells. This technique reveals distinct protein structures and lipid membranes, aiding in cellular classification and understanding functional differences.

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Last Updated: Jul 1, 2025

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

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Published on: May 29, 2012

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

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An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

Area of Science:

Biomedical Optics
Cellular Biology
Spectroscopy

Background:

Accurate cell identification in multicellular models is challenging.
Label-free, non-invasive methods are needed for cell characterization.

Purpose of the Study:

To develop and validate a label-free method for classifying bone cells and osteosarcoma cells.
To investigate spectral differences between osteosarcoma and normal bone cells.

Main Methods:

Utilized hyperspectral confocal Raman microscopy.
Applied principal component analysis and linear discriminant analysis for classification.
Developed a spectral library of K7M2 osteosarcoma, 7F2 osteoblast, and RAW 264.7 macrophage-derived cells.

Main Results:

Achieved a minimum of 72% accuracy in classifying cell types.
Identified differences in protein secondary structures (β-sheet vs. α-helix) between osteosarcoma and osteoblast cells.
Observed distinct membrane lipid structures impacting cellular signaling.

Conclusions:

Hyperspectral confocal Raman microscopy is effective for label-free, non-destructive cell classification.
Spectral reconstruction provides insights into functional differences between cell types.
This approach aids in understanding cellular mechanisms in health and disease.