Cross-Correlation Increases Sampling in Diffusion-Based Super-Resolution Optical Fluctuation Imaging.

Chemical & Biomedical Imaging Pub Date : 2024-07-30 eCollection Date: 2024-09-23 DOI:10.1021/cbmi.4c00032
Jeanpun Antarasen, Benjamin Wellnitz, Stephanie N Kramer, Surajit Chatterjee, Lydia Kisley
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Abstract

Correlation signal processing of optical three-dimensional (x, y, t) data can produce super-resolution images. The second-order cross-correlation function XC 2 has been documented to produce super-resolution imaging with static and blinking emitters but not for diffusing emitters. Here, we both analytically and numerically demonstrate cross-correlation analysis for diffusing particles. We then expand our fluorescence correlation spectroscopy super-resolution optical fluctuation imaging (fcsSOFI) analysis to use cross-correlation as a postprocessing computational technique to extract both dynamic and structural information on particle diffusion in nanoscale structures simultaneously. Cross-correlation maintains the same super-resolution as auto-correlation while also increasing the sampling rates to reduce aliasing for spatial information in both simulated and experimental data. Our work demonstrates how fcsSOFI with cross-correlation can be a powerful signal-processing tool to resolve the nanoscale dynamics and structure in samples relevant to biological and soft materials.

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交叉相关提高基于扩散的超分辨率光学波动成像的采样率
光学三维(x、y、t)数据的相关信号处理可产生超分辨率图像。根据文献记载,二阶交叉相关函数 XC 2 可对静态和闪烁发射体产生超分辨率成像,但对扩散发射体却无法产生超分辨率成像。在这里,我们用分析和数值方法证明了扩散粒子的交叉相关分析。然后,我们扩展了荧光相关光谱超分辨率光学波动成像(fcsSOFI)分析,将交叉相关作为一种后处理计算技术,同时提取纳米级结构中粒子扩散的动态和结构信息。交叉相关保持了与自相关相同的超分辨率,同时还提高了采样率,以减少模拟和实验数据中空间信息的混叠。我们的工作展示了带有交叉相关的 fcsSOFI 如何成为一种强大的信号处理工具,用于解析与生物和软材料相关的样品中的纳米级动态和结构。
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来源期刊
Chemical & Biomedical Imaging
Chemical & Biomedical Imaging 化学与生物成像-
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期刊介绍: Chemical & Biomedical Imaging is a peer-reviewed open access journal devoted to the publication of cutting-edge research papers on all aspects of chemical and biomedical imaging. This interdisciplinary field sits at the intersection of chemistry physics biology materials engineering and medicine. The journal aims to bring together researchers from across these disciplines to address cutting-edge challenges of fundamental research and applications.Topics of particular interest include but are not limited to:Imaging of processes and reactionsImaging of nanoscale microscale and mesoscale materialsImaging of biological interactions and interfacesSingle-molecule and cellular imagingWhole-organ and whole-body imagingMolecular imaging probes and contrast agentsBioluminescence chemiluminescence and electrochemiluminescence imagingNanophotonics and imagingChemical tools for new imaging modalitiesChemical and imaging techniques in diagnosis and therapyImaging-guided drug deliveryAI and machine learning assisted imaging
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