Azzari Lucio, Vippola Minnamari, Nymark Soile, Ihalainen Teemu O, Mäntylä Elina
Tampere Microscopy Center (TMC), Tampere University, Tampere, Finland.
BioMediTech, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Bio Protoc. 2024 Sep 20;14(18):e5072. doi: 10.21769/BioProtoc.5072.
Expansion microscopy (ExM) has significantly reformed the field of super-resolution imaging, emerging as a powerful tool for visualizing complex cellular structures with nanoscale precision. Despite its capabilities, the epitope accessibility, labeling density, and precision of individual molecule detection pose challenges. We recently developed an iterative indirect immunofluorescence (IT-IF) method to improve the epitope labeling density, improving the signal and total intensity. In our protocol, we iteratively apply immunostaining steps before the expansion and exploit signal processing through noise estimation, denoising, and deblurring (NEDD) to aid in quantitative image analyses. Herein, we describe the steps of the iterative staining procedure and provide instructions on how to perform NEDD-based signal processing. Overall, IT-IF in ExM-laser scanning confocal microscopy (LSCM) represents a significant advancement in the field of cellular imaging, offering researchers a versatile tool for unraveling the structural complexity of biological systems at the molecular level with an increased signal-to-noise ratio and fluorescence intensity. Key features • Builds upon the method developed by Mäntylä et al. [1] and introduces the IT-IF method and signal-processing platform for several nanoscopy imaging applications. • Retains signal-to-noise ratio and significantly enhances the fluorescence intensity of ExM-LSCM data. • Automatic estimation of noise, signal reconstruction, denoising, and deblurring for increased reliability in image quantifications. • Requires at least seven days to complete.
扩展显微镜技术(ExM)显著变革了超分辨率成像领域,成为一种能够以纳米级精度可视化复杂细胞结构的强大工具。尽管它具备诸多功能,但表位可及性、标记密度以及单个分子检测的精度仍存在挑战。我们最近开发了一种迭代间接免疫荧光法(IT-IF)来提高表位标记密度,增强信号和总强度。在我们的方案中,我们在扩展前迭代应用免疫染色步骤,并通过噪声估计、去噪和去模糊(NEDD)进行信号处理,以辅助定量图像分析。在此,我们描述迭代染色程序的步骤,并提供关于如何进行基于NEDD的信号处理的说明。总体而言,ExM-激光扫描共聚焦显微镜(LSCM)中的IT-IF代表了细胞成像领域的一项重大进展,为研究人员提供了一种通用工具,能够在分子水平上揭示生物系统的结构复杂性,同时提高信噪比和荧光强度。关键特性 • 基于Mäntylä等人[1]开发的方法,为多种纳米显微镜成像应用引入了IT-IF方法和信号处理平台。 • 保持信噪比并显著增强ExM-LSCM数据的荧光强度。 • 自动估计噪声、信号重建、去噪和去模糊,以提高图像定量的可靠性。 • 至少需要七天才能完成。