发表机构
KTH Royal Institute of Technology（瑞典皇家理工学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出利用光学示踪剂的有限记忆特征，通过输运历史积分和结构化照明下的传递函数，无需时间分辨采集即可重建随机扩散的标量和张量，并经Fisher信息分析和蒙特卡洛模拟验证，确立了随机输运成像的一般原理。
AI 中文摘要
有限记忆光学示踪剂可通过其先前经历的激发来编码输运特性。利用发射体中可激发的长寿命电子态群体所承载的这种记忆特征，无需瞬时定位评估即可确定其输运特性。在此，我们阐述了这一原理，用于监测从条件输运历史的输运历史积分中提取的随机输运。在结构化照明下，该历史产生可测量的传递函数响应，从中无需时间分辨采集即可重建标量和张量扩散。Fisher信息分析确定了最佳工作区间，并给出了标量和张量重建精度的第一性原理、无参数预测，与独立蒙特卡洛模拟定量一致。这些结果确立了有限光学记忆作为随机输运成像的一般原理。
英文摘要
Finite-memory optical tracers can encode transport properties through their previously experienced excitation. Using such memory features, harboured in the population of excitable long-lived electronic states within the emitters, instantaneous localization assessments are not needed to determine their transport properties. Here we formulate this principle for monitoring of stochastic transport extracted from transport-history integral over conditional transport histories. Under structured illumination, this history yields a measurable transfer-function response from which scalar and tensor diffusion are reconstructed without time-resolved acquisition. Fisher-information analysis identifies the optimal operating regime and yields first-principles, parameter-free predictions of scalar and tensor reconstruction precision, in quantitative agreement with independent Monte Carlo simulations. These results establish finite optical memory as a general principle for stochastic transport imaging.
Comments9 pages, 4 figures
