Related Experiment Video
Updated: Sep 6, 2025
07:37
An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
Published on: January 9, 2020
9.6K
Raman microspectroscopy fingerprinting of organoid differentiation state
Kate Tubbesing1,2,3,4, Nicholas Moskwa2,3,5, Ting Chean Khoo1
1Department of Physics, University at Albany, State University of New York, 1400 Washington Avenue, Albany, NY, 12222, USA.
Cellular & Molecular Biology Letters
|June 28, 2022
Summary
Raman spectroscopy noninvasively identifies organoid phenotypes. This technique uses spectral fingerprints to distinguish between different organoid states, aiding disease modeling and drug screening.
Area of Science:
- Biotechnology
- Regenerative Medicine
- Spectroscopy
Background:
- Organoids, 3D cultures from stem cells, model organ development and disease.
- Therapeutic applications require methods to assess organoid differentiation non-destructively.
- Current methods lack non-invasive ways to determine organoid states after treatment.
Purpose of the Study:
- Develop non-destructive Raman spectroscopy methods to identify organoid differentiation states.
- Establish Raman spectral signatures for various organoid phenotypes.
- Enable real-time monitoring of organoids in regenerative medicine and drug discovery.
Main Methods:
- Utilized 3D submandibular salivary gland organoids derived from embryonic progenitor cells.
- Applied Raman confocal microspectroscopy to analyze both fixed and live organoids.
- Developed quantitative comparisons using Raman spectral features, multivariate analysis, and machine learning.
Main Results:
- Identified distinct Raman spectral signatures corresponding to specific organoid differentiation states.
- Demonstrated that Raman spectral signatures accurately predict organoid phenotype.
- Successfully classified organoid states using spectral features, multivariate analysis, and machine learning.
Conclusions:
- Raman spectral fingerprints provide a non-invasive method to distinguish organoid phenotypes.
- This technique is applicable to unlabeled, intact, and hydrated organoids.
- Enables future applications in disease modeling, drug screening, and regenerative medicine.
