Gottlieb Dale, Asadipour Bahar, Kostina Polina, Ung Thi Phuong Lien, Stringari Chiara
Laboratory for Optics and Biosciences, École Polytechnique, CNRS, INSERM, Institut Polytechnique de Paris, 91128 Palaiseau, France.
Biol Imaging. 2023 Nov 6;3:e21. doi: 10.1017/S2633903X23000211. eCollection 2023.
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique used to probe the local environment of fluorophores. The fit-free phasor approach to FLIM data is increasingly being used due to its ease of interpretation. To date, no open-source graphical user interface (GUI) for phasor analysis of FLIM data is available in Python, thus limiting the widespread use of phasor analysis in biomedical research. Here, we present Fluorescence Lifetime Ultimate Explorer (FLUTE), a Python GUI that is designed to fill this gap. FLUTE simplifies and automates many aspects of the analysis of FLIM data acquired in the time domain, such as calibrating the FLIM data, performing interactive exploration of the phasor plot, displaying phasor plots and FLIM images with different lifetime contrasts simultaneously, and calculating the distance from known molecular species. After applying desired filters and thresholds, the final edited datasets can be exported for further user-specific analysis. FLUTE has been tested using several FLIM datasets including autofluorescence of zebrafish embryos and in vitro cells. In summary, our user-friendly GUI extends the advantages of phasor plotting by making the data visualization and analysis easy and interactive, allows for analysis of large FLIM datasets, and accelerates FLIM analysis for non-specialized labs.
荧光寿命成像显微镜(FLIM)是一种用于探测荧光团局部环境的强大技术。由于其易于解释,无拟合相量法在FLIM数据处理中越来越常用。到目前为止,Python中还没有用于FLIM数据相量分析的开源图形用户界面(GUI),这限制了相量分析在生物医学研究中的广泛应用。在此,我们展示了荧光寿命终极探索器(FLUTE),这是一个旨在填补这一空白的Python GUI。FLUTE简化并自动化了时域采集的FLIM数据分析的许多方面,例如校准FLIM数据、对相量图进行交互式探索、同时显示具有不同寿命对比度的相量图和FLIM图像,以及计算与已知分子种类的距离。应用所需的滤波器和阈值后,最终编辑的数据集可以导出,以便进行进一步的用户特定分析。FLUTE已使用多个FLIM数据集进行测试,包括斑马鱼胚胎和体外细胞的自发荧光。总之,我们这个用户友好的GUI通过使数据可视化和分析变得简单且具有交互性,扩展了相量绘图的优势,允许对大型FLIM数据集进行分析,并加速了非专业实验室的FLIM分析。