FASER:矢量点扩展函数模拟的工具,在受激发射耗尽显微镜中的应用。

IF 4.8 2区 医学 Q1 NEUROSCIENCES
Neurophotonics Pub Date : 2025-01-01 Epub Date: 2025-02-12 DOI:10.1117/1.NPh.12.1.017801
Johannes Roos, Stéphane Bancelin, U Valentin Nägerl
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引用次数: 0

摘要

我们介绍了FASER,一个用于模拟显微镜激励点扩展函数(psf)的软件包。它是用Python编写的,作为开源平台Napari的插件。使用全矢量计算方法来模拟焦点区域内的电磁场,可以精确预测并允许对激发psf进行详细分析。FASER旨在作为一种教学工具,使用户能够探索各种几何和光学参数对显微镜性能的实际重要性的影响。它支持复杂光束轮廓的建模,包括甜甜圈和瓶形光束,这通常用于先进的显微镜技术,如受激发射损耗(STED)显微镜。通过具体的模拟和易于理解的插图,我们展示了FASER在捕捉STED显微镜特征特征方面的能力,使其成为光学显微镜研究人员和学生探索和优化高分辨率成像技术的实用资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FASER: a tool for vectorial point spread function simulation with applications in stimulated emission depletion microscopy.

We introduce FASER, a software package designed to simulate the excitation point spread functions (PSFs) of microscopes. It is written in Python as a plugin for the open-source platform Napari. Using a full-vectorial computational approach to simulate the electromagnetic fields within the focal region makes precise predictions and allows detailed analyses of excitation PSFs. FASER is intended as a pedagogical tool enabling users to explore the impacts of various geometrical and optical parameters of practical importance on the performance of the microscope. It supports the modeling of complex beam profiles, including donut and bottle-shaped beams, which are commonly used in advanced microscopy techniques such as stimulated emission depletion (STED) microscopy. Through specific simulations and accessible illustrations, we showcase FASER's capabilities in capturing characteristic features of STED microscopy, making it a practical resource for researchers and students in optical microscopy to explore and optimize high-resolution imaging techniques.

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来源期刊
Neurophotonics
Neurophotonics Neuroscience-Neuroscience (miscellaneous)
CiteScore
7.20
自引率
11.30%
发文量
114
审稿时长
21 weeks
期刊介绍: At the interface of optics and neuroscience, Neurophotonics is a peer-reviewed journal that covers advances in optical technology applicable to study of the brain and their impact on the basic and clinical neuroscience applications.
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