Publication: Computer vision for image-based transcriptomics
Computer vision for image-based transcriptomics
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Stoeger, T., Battich, N., Herrmann, M. D., Yakimovich, Y., & Pelkmans, L. (2015). Computer vision for image-based transcriptomics. Methods, 85, 44–53. https://doi.org/10.1016/j.ymeth.2015.05.016
Abstract
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Single-cell transcriptomics has recently emerged as one of the most promising tools for understanding the diversity of the transcriptome among single cells. Image-based transcriptomics is unique compared to other methods as it does not require conversion of RNA to cDNA prior to signal amplification and transcript quantification. Thus, its efficiency in transcript detection is unmatched by other methods. In addition, image-based transcriptomics allows the study of the spatial organization of the transcriptome in single cells at single-
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- Stoeger, Thomas
- Battich, Nico
- Herrmann, Markus D
- Yakimovich, Yauhen
- Pelkmans, Lucas
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Stoeger, T., Battich, N., Herrmann, M. D., Yakimovich, Y., & Pelkmans, L. (2015). Computer vision for image-based transcriptomics. Methods, 85, 44–53. https://doi.org/10.1016/j.ymeth.2015.05.016
