Super-resolution microscopy depends on steps that can contribute to the formation of image artifacts, leading to misinterpretation of biological information. We present NanoJ-SQUIRREL, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution equivalents of the same acquisition volume, this approach generates a quantitative map of super-resolution defects and can guide researchers in optimizing imaging parameters.

中文翻译：

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超分辨率光学成像伪影的定量映射和最小化

超分辨率显微镜取决于可能有​​助于形成图像伪影的步骤，从而导致对生物信息的误解。我们提出 NanoJ-SQUIRREL，一种基于 ImageJ 的分析方法，可提供超分辨率图像质量的定量评估。通过比较相同采集体积的衍射极限图像和超分辨率等效物，该方法生成超分辨率缺陷的定量图，并可以指导研究人员优化成像参数。