Large-scale combinatorial optical barcoding of cells with laser particles

The identification of individual cells is crucial for advancements in single-cell analysis. Optically readable barcodes provide a means to distinguish and track cells through repeated, non-destructive measurements. Traditional fluorophore-based methods are limited by the finite number of unique barcodes they can produce. Laser particles (LPs), which emit narrowband peaks over a wide spectral range, have emerged as a promising technology for single-cell barcoding. Here, we demonstrate the use of multiple LPs to generate combinatorial barcodes, enabling the identification of a vast number of live cells. We introduce a theoretical framework for estimating the number of LPs required for unique barcodes and the expected identification error rate. Additionally, we present an improved LP-tagging method that is highly effective across a variety of cell types and evaluate its biocompatibility. Our experimental results show successful barcoding of several million cells, closely matching our theoretical predictions. This research marks a significant step forward in the scalability of LP technology for single-cell tracking and analysis.

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Publication Details

Journal
Light Science & Applications
Published
2025-04-01
DOI
https://doi.org/10.1038/s41377-025-01809-x
Citations
3
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
2.42

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article

Large-scale combinatorial optical barcoding of cells with laser particles

Yue Wu, Seok‐Hyun Yun, Sarah Forward, Hao Yan et al.
3 citations
Light Science & Applications
Single-cell and spatial transcriptomics
2.42
article

Large-scale combinatorial optical barcoding of cells with laser particles

Yue Wu, Seok‐Hyun Yun, Sarah Forward, Hao Yan, Nicola Martino, Geoffrey W. Abbott, Zhu Han, Kwon‐Hyeon Kim, Marissa Fahlberg, Sheldon J. J. Kwok
article en
3 citations

Abstract

The identification of individual cells is crucial for advancements in single-cell analysis. Optically readable barcodes provide a means to distinguish and track cells through repeated, non-destructive measurements. Traditional fluorophore-based methods are limited by the finite number of unique barcodes they can produce. Laser particles (LPs), which emit narrowband peaks over a wide spectral range, have emerged as a promising technology for single-cell barcoding. Here, we demonstrate the use of multiple LPs to generate combinatorial barcodes, enabling the identification of a vast number of live cells. We introduce a theoretical framework for estimating the number of LPs required for unique barcodes and the expected identification error rate. Additionally, we present an improved LP-tagging method that is highly effective across a variety of cell types and evaluate its biocompatibility. Our experimental results show successful barcoding of several million cells, closely matching our theoretical predictions. This research marks a significant step forward in the scalability of LP technology for single-cell tracking and analysis.

Light Science & ApplicationsVol. 14(1)
Broad Institute (US), Harvard University (US), Massachusetts General Hospital (US), Harvard–MIT Division of Health Sciences and Technology (US), Center for Systems Biology (US), Massachusetts Institute of Technology (US), Tsinghua University (CN)
National Institutes of Health
Openalex Percentile: Top 12%
Single-cell and spatial transcriptomics
2.42
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