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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.09692 |
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| _version_ | 1866910910735450112 |
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| author | John, Nimmy S. Lee, ChangHwan |
| author_facet | John, Nimmy S. Lee, ChangHwan |
| contents | Single-molecule RNA imaging has been made possible with the recent advances in microscopy methods. However, systematic analysis of these images has been challenging due to the highly variable background noise, even after applying sophisticated computational clearing methods. Here, we describe our custom MATLAB scripts that allow us to detect both nuclear nascent transcripts at the active transcription sites (ATS) and mature cytoplasmic mRNAs with single-molecule precision and reconstruct the tissue in 3D for further analysis. Our codes were initially optimized for the C. elegans germline but were designed to be broadly applicable to other species and tissue types. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09692 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | smFISH_batchRun: A smFISH image processing tool for single-molecule RNA Detection and 3D reconstruction John, Nimmy S. Lee, ChangHwan Quantitative Methods Single-molecule RNA imaging has been made possible with the recent advances in microscopy methods. However, systematic analysis of these images has been challenging due to the highly variable background noise, even after applying sophisticated computational clearing methods. Here, we describe our custom MATLAB scripts that allow us to detect both nuclear nascent transcripts at the active transcription sites (ATS) and mature cytoplasmic mRNAs with single-molecule precision and reconstruct the tissue in 3D for further analysis. Our codes were initially optimized for the C. elegans germline but were designed to be broadly applicable to other species and tissue types. |
| title | smFISH_batchRun: A smFISH image processing tool for single-molecule RNA Detection and 3D reconstruction |
| topic | Quantitative Methods |
| url | https://arxiv.org/abs/2504.09692 |