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TrueSpot:一种用于在荧光成像中定量信号斑点的强大自动化工具。

TrueSpot: A robust automated tool for quantifying signal puncta in fluorescent imaging.

作者信息

Hospelhorn Blythe G, Kesler Benjamin K, Jashnsaz Hossein, Neuert Gregor

机构信息

Vanderbilt Genetics Institute, School of Medicine, Vanderbilt University, Nashville, TN, 37232, USA.

Department of Molecular Physiology and Biophysics, School of Medicine, Vanderbilt University, Nashville, TN, 37232, USA.

出版信息

bioRxiv. 2025 Jan 14:2025.01.10.632467. doi: 10.1101/2025.01.10.632467.

Abstract

Characterizing the movement of biomolecules in single cells quantitatively is essential to understanding fundamental biological mechanisms. RNA fluorescent in situ hybridization (RNA-FISH) is a technique for visualizing RNA in fixed cells using fluorescent probes. Automated processing of the resulting images is essential for large datasets. Here we demonstrate that our RNA-FISH image processing tool, TrueSpot, is useful for automatically detecting the locations of RNA at single molecule resolution. TrueSpot also performs well on images with immunofluorescent (IF) and GFP tagged clustered protein targets. Additionally, we show that our 3D spot detection approach substantially outperforms current 2D spot detection algorithms.

摘要

定量表征生物分子在单细胞中的运动对于理解基本生物学机制至关重要。RNA荧光原位杂交(RNA-FISH)是一种使用荧光探针在固定细胞中可视化RNA的技术。对所得图像进行自动处理对于大型数据集至关重要。在这里,我们证明了我们的RNA-FISH图像处理工具TrueSpot可用于以单分子分辨率自动检测RNA的位置。TrueSpot在具有免疫荧光(IF)和GFP标记的聚集蛋白靶标的图像上也表现良好。此外,我们表明我们的3D斑点检测方法明显优于当前的2D斑点检测算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aea8/11761359/4a622ac54957/nihpp-2025.01.10.632467v1-f0001.jpg

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