用于分子光学层切显微术的浓度编码有效光子像素化方法
Pixelation with concentration-encoded effective photons for molecular optical sectioning microscopy
AI总结：
本文提出一种基于体相荧光团绝对测量与泊松光子统计的简单工具，统一像素化测量单位，实现跨模态、跨系统、跨靶标的成像性能客观比较，并在活体标本中验证了低信噪比快速定量成像方法的可行性。
摘要：
分子光学层切显微术中的质量控制对于将获取的数字图像从定性描述转化为定量数据不可或缺。尽管已开发出众多工具、指标和仿体，但对来自不同显微系统、具有多样采集条件的数据进行准确定量比较仍是一项挑战。在此，我们开发了一种基于对体相荧光团溶液进行绝对测量并结合相关泊松光子统计的简单工具，以克服这一障碍。该工具在典型的多光子显微镜中进行了演示，统一了像素化测量的单位，从而能够客观比较不同成像模态、显微镜、组件/设置以及分子靶标之间的成像性能。该工具在活体标本中的应用确立了一种有吸引力的定量成像方法，该方法通过温和照明或低浓度荧光标记快速采集低信噪比帧。
英文摘要：
Quality control in molecular optical sectioning microscopy is indispensable for transforming acquired digital images from qualitative descriptions to quantitative data. Although numerous tools, metrics, and phantoms have been developed, accurate quantitative comparisons of data from different microscopy systems with diverse acquisition conditions remains a challenge. Here, we develop a simple tool based on an absolute measurement of bulk fluorophore solutions with related Poisson photon statistics, to overcome this obstacle. Demonstrated in a prototypical multiphoton microscope, our tool unifies the unit of pixelated measurement to enable objective comparison of imaging performance across different modalities, microscopes, components/settings, and molecular targets. The application of this tool in live specimens identifies an attractive methodology for quantitative imaging, which rapidly acquires low signal-to-noise frames with either gentle illumination or low-concentration fluorescence labeling.
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