Replication Data for: Structured Excitation Energy Transfer: Tracking Exciton Diffusion below Sunlight Intensity

The dataset consists of time-resolved photoluminescence traces that report to the exciton diffusion properties of two different samples: organic photovoltaic material Y6 and single layer membrane of the Light Harvesting 2 (LH2) molecule from purple bacteria. The diffusion properties are recovered by combining TCSPC measurements together high frequency structured illumination and a demodulation scheme that allows to track the temporal dynamics the exciton population at the spatial frequency of the excitation. We included both raw data and MATLAB scripts process the file in order to obtain the mean square displacement data from where the diffusion properties are obtained. The provided dataset was generated using the StrEET microscopy technique, as described in the publication (https://doi.org/10.1021/acsphotonics.4c00004). Briefly, a high frequency, sine-like, structured illumination (2 ps pulses at 800 nm wavelength) is used to excite the sample in a 42-micron region of interest. The collected photoluminescence is demodulated using a transmission mask of the same period which is mounted in a piezo-electric actuator. Then, the resulting light is detected on a fast SPAD detector for time single photon counting (TCSPC). The setup instrumentation was developed using LABVIEW 2021 and the raw TCSPC histograms are saved in TDMS file format (https://www.ni.com/en/support/documentation/supplemental/06/the-ni-tdms-file-format.html?srsltid=AfmBOoocwwjWt6GMyPIH7ii7g6E6uSVEPIqYPfOSAWwue-wsB9ep6DtO) The raw data was processed using several MATLAB scripts, specifically created for that purpose. The mathematical description of the data processing (i.e. obtaining the energy transport information from the TCSPC traces) is described in the main article (https://doi.org/10.1021/acsphotonics.4c00004). Matlab 2015a or later. The functions folder (and subfolders) should be added to Matlab path. Public libraries to open TDMS files with matlab are included. TCSPC was generated using a standard Picoharp 300 system (PicoQuant)