Ground-Truth Simulated Volumetric Two-Photon Calcium Imaging Data for SDT-4D

This dataset contains the noise-free ground-truth volumetric two-photon calcium imaging data corresponding to the simulated noisy observations used for the development and quantitative evaluation of SDT-4D. The four-dimensional calcium imaging data were generated using a modified Neural Anatomy and Optical Microscopy (NAOMi)-based simulation framework and provide clean reference images with the same underlying neuronal structures and calcium dynamics as the separately deposited noisy dataset. These ground-truth data were used exclusively as reference data for quantitative evaluation, including signal-to-noise ratio (SNR), structural and temporal fidelity analyses, method comparisons, and calibration assessment of Bayesian SDT-4D, as reported in the associated manuscript, “Four-dimensional self-supervised denoising enables high-sensitivity volumetric imaging of biological dynamics.”