Aggarwal Nandini, Marsh Richard, Marcotti Stefania, Shaw Tanya J, Stramer Brian, Cox Susan, Culley Siân
Randall Centre for Cell & Molecular Biophysics, King's College London, London, UK.
Centre for Inflammation Biology & Cancer Immunology, School of Immunology & Microbial Sciences, King's College London, London, UK.
J Microsc. 2025 May;298(2):185-203. doi: 10.1111/jmi.13308. Epub 2024 Apr 29.
Many biological structures take the form of fibres and filaments, and quantitative analysis of fibre organisation is important for understanding their functions in both normal physiological conditions and disease. In order to visualise these structures, fibres can be fluorescently labelled and imaged, with specialised image analysis methods available for quantifying the degree and strength of fibre alignment. Here we show that fluorescently labelled fibres can display polarised emission, with the strength of this effect varying depending on structure and fluorophore identity. This can bias automated analysis of fibre alignment and mask the true underlying structural organisation. We present a method for quantifying and correcting these polarisation effects without requiring polarisation-resolved microscopy and demonstrate its efficacy when applied to images of fluorescently labelled collagen gels, allowing for more reliable characterisation of fibre microarchitecture.
许多生物结构呈纤维和细丝状,对纤维组织进行定量分析对于理解其在正常生理条件和疾病中的功能都很重要。为了可视化这些结构,可以对纤维进行荧光标记并成像,同时有专门的图像分析方法可用于量化纤维排列的程度和强度。在这里,我们表明荧光标记的纤维可以显示偏振发射,这种效应的强度因结构和荧光团特性而异。这可能会使纤维排列的自动分析产生偏差,并掩盖真正的潜在结构组织。我们提出了一种无需偏振分辨显微镜即可量化和校正这些偏振效应的方法,并证明了其应用于荧光标记的胶原凝胶图像时的有效性,从而能够更可靠地表征纤维微结构。