Yan Qinglai, Gu Zhaotai, Li Nana, Zhang Qinyuan, Wu Siyue, Yang Haozhi, Ren Junyu
Zhejiang Institute of Medical Device Supervision and Testing, Hangzhou, 310018, Zhejiang, China.
Guangdong OptoMedic Technologies, Inc, Foshan, 528200, Guangdong, China.
J Fluoresc. 2025 Aug 25. doi: 10.1007/s10895-025-04523-4.
The traditional method of establishing the relationship between fluorescence brightness and dye concentration through concentration gradient, and evaluating the sensitivity of imaging detection is too repetitive and cumbersome, and is obviously affected by handwork. Therefore, the reliability and reproducibility of the data are low. This work provides a standard concentration and imaging luminance relationship curve for equipment manufacturers through concentration preparation and detection quantification by authoritative institutions based on indocyanine green dye. It only needs to detect the excitation light power and simulated fluorescence radiation of the equipment in the imaging system, and find the relationship curve to obtain the relationship between "radiation and concentration" and "signal-to-background ratio-concentration", which can be used as a quantitative basis for the camera system. All operations can achieve traceability operation, which greatly reduces the human experimental error, and provides reliable evidence for the detection sensitivity evaluation of bioimaging system based on fluorescent dyes.
传统的通过浓度梯度建立荧光亮度与染料浓度之间的关系，并评估成像检测灵敏度的方法过于重复和繁琐，且明显受手工操作影响。因此，数据的可靠性和可重复性较低。这项工作通过权威机构基于吲哚菁绿染料进行浓度配制和检测定量，为设备制造商提供了标准浓度与成像亮度关系曲线。只需检测成像系统中设备的激发光功率和模拟荧光辐射，找到关系曲线即可得到“辐射与浓度”以及“信噪比-浓度”之间的关系，可作为相机系统的定量依据。所有操作均可实现可追溯操作，大大降低了人为实验误差，为基于荧光染料的生物成像系统检测灵敏度评估提供了可靠依据。
