瑞典卡罗林斯卡学院Magda Bienko团队近期取得重要工作进展，他们研究开发了Deconwolf技术，能实现宽视场荧光显微镜图像的高性能去卷积。相关研究成果2024年6月6日在线发表于《自然—方法学》杂志上。

据介绍，基于显微镜的空间分辨率组学方法正在改变生命科学。然而，这些方法依赖于高数值孔径目标，不能解决拥挤的分子靶标，限制了可提取的生物信息的量。

为了克服这些限制，研究人员开发了Deconwolf，这是一款开源、用户友好的软件，用于宽场荧光显微镜图像的高性能去卷积，可在笔记本电脑上高效运行。Deconwolf能够准确量化DNA和RNA荧光原位杂交图像中拥挤衍射限制荧光点，并能够对用×20空气物镜成像的组织切片中的单个转录物进行稳健检测。

用Deconwolf对原位空间转录组学图像进行去卷积，使鉴定的转录物数量增加了三倍以上，而将Deconwolf应用于通过条形码Oligoapaint探针的荧光原位测序获得的图像，大大改善了染色体追踪。Deconwolf极大地促进了去卷积在许多生物成像应用中的使用。

附：英文原文

Title: Deconwolf enables high-performance deconvolution of widefield fluorescence microscopy images

Author: Wernersson, Erik, Gelali, Eleni, Girelli, Gabriele, Wang, Su, Castillo, David, Mattsson Langseth, Christoffer, Verron, Quentin, Nguyen, Huy Q., Chattoraj, Shyamtanu, Martinez Casals, Anna, Blom, Hans, Lundberg, Emma, Nilsson, Mats, Marti-Renom, Marc A., Wu, Chao-ting, Crosetto, Nicola, Bienko, Magda

Issue&Volume: 2024-06-06

Abstract: Microscopy-based spatially resolved omic methods are transforming the life sciences. However, these methods rely on high numerical aperture objectives and cannot resolve crowded molecular targets, limiting the amount of extractable biological information. To overcome these limitations, here we develop Deconwolf, an open-source, user-friendly software for high-performance deconvolution of widefield fluorescence microscopy images, which efficiently runs on laptop computers. Deconwolf enables accurate quantification of crowded diffraction limited fluorescence dots in DNA and RNA fluorescence in situ hybridization images and allows robust detection of individual transcripts in tissue sections imaged with ×20 air objectives. Deconvolution of in situ spatial transcriptomics images with Deconwolf increased the number of transcripts identified more than threefold, while the application of Deconwolf to images obtained by fluorescence in situ sequencing of barcoded Oligopaint probes drastically improved chromosome tracing. Deconwolf greatly facilitates the use of deconvolution in many bioimaging applications.

DOI: 10.1038/s41592-024-02294-7

Source: https://www.nature.com/articles/s41592-024-02294-7