Researchers develop ISAMFP, a computational framework that leverages natural target motion to enable super-resolution imaging of dynamic non-cooperative targets. By exploiting angular diversity and phase modulation, the method achieves high-frequency information recovery from sub-aperture intensity measurements.
Researchers developed STM-FPDT to overcome speed bottlenecks in conventional tomographic imaging. The technique enables parallel acquisition of multi-angle information, reducing acquisition time by 4.5-fold and enabling high spatiotemporal resolution observation.
Researchers developed PCA-iSIM, a novel super-resolution microscopy system that enables high-resolution imaging of subcellular dynamics in living cells. The approach integrates PCA to extract dominant signal components and enhance robustness and precision in parameter estimation.
A new 3D imaging technique combines intensity diffraction tomography with adaptive optics to track subcellular structures over extended periods. This approach achieves high spatiotemporal resolution and molecular specificity, enabling the study of cellular dynamics.
Researchers developed DF-FPDT to address low-frequency loss from non-matched illumination in live-cell imaging, enabling high-resolution and high-contrast 3D reconstructions. This breakthrough technique leverages non-matched illumination to enhance structural details without additional hardware or post-processing.