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Generating expression profiles of single living cells from Raman microscopy

Expression profiles of single live cells are generated from Raman microscopy using deep learning, enabling us to track expression dynamics along cell reprogramming or differentiation.

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Fig. 1: Overview and application of R2R.

References

  1. Tanay, A. & Regev, A. Scaling single-cell genomics from phenomenology to mechanism. Nature 541, 331–338 (2017). A review that presents the importance of single-cell genomics, state-of-the-art methods and their applications.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Wagner, D. E. & Klein, A. M. Lineage tracing meets single-cell omics: opportunities and challenges. Nat. Rev. Genet. 21, 410–427 (2020). A review that presents challenges in infering dynamics from single-cell genomics measurements.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ntziachristos, V. Fluorescence molecular imaging. Ann. Rev. Biomed. Eng. 8, 1–33 (2006). A review that presents various types of fluorescent reporters and their challenges.

    Article  CAS  Google Scholar 

  4. Palonpon, A. F., Sodeoka, M. & Fujita, K. Molecular imaging of live cells by Raman microscopy. Curr. Opin. Chem. Biol. 17, 708–715 (2013). A review that presents various methods and challenges of Raman microscopy.

    Article  CAS  PubMed  Google Scholar 

Download references

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This is a summary of: Kobayashi-Kirschvink, K. J. et al. Prediction of single-cell RNA expression profiles in live cells by Raman microscopy with Raman2RNA. Nat. Biotechnol. https://doi.org/10.1038/s41587-023-02082-2 (2024).

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Generating expression profiles of single living cells from Raman microscopy. Nat Biotechnol (2024). https://doi.org/10.1038/s41587-023-02083-1

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