High-speed super-resolution microscopy by way of temporal compression

As an indispensable software for observing the microcosmos, optical microscopy has boosted the event of assorted fields, together with biology, medication, physics, and supplies. However, optical diffraction imposes a spatial decision restriction on optical microscopy, which hampers exploration of finer buildings.

To overcome the decision limitation, numerous super-resolution microscopy strategies primarily based on various rules have been proposed. Yet these strategies generally purchase super-resolution on the expense of decreased imaging speed, so attaining high-speed super-resolution imaging that may detect quick dynamics with tremendous buildings has remained an awesome problem.

Recently, a analysis workforce from East China Normal University, Shenzhen University, and Peking University resolved the contradiction between the spatial resolution and imaging velocity. As reported in Advanced Photonics, they achieved high-speed super-resolution by growing an efficient method termed temporal compressive super-resolution microscopy (TCSRM). TCSRM merges enhanced temporal compressive microscopy with deep-learning-based super-resolution picture reconstruction.

Enhanced temporal compressive microscopy improves the imaging velocity by reconstructing a number of pictures from one compressed picture, and the deep-learning-based picture reconstruction achieves the super-resolution impact with out discount in imaging velocity. Their iterative picture reconstruction algorithm comprises movement estimation, merging estimation, scene correction, and super-resolution processing to extract the super-resolution picture sequence from compressed and reference measurements.

Their research verified the high-speed super-resolution imaging capability of TCSRM in idea and experiment. To display the imaging functionality of TCSRM, they imaged flowing fluorescent beads in a microchannel, attaining a exceptional frame rate of 1200 frames per second and spatial decision of 100 nm.

According to corresponding writer Shian Zhang, Professor and Deputy Director of the State Key Laboratory of Precision Spectroscopy at East China Normal University, “This work provides a powerful tool for the observation of high-speed dynamics of fine structures, especially in hydromechanics and biomedical fields, such as microflow velocity measurement, organelle interactions, intracellular transports and neural dynamics.”

Zhang provides, “The framework of TCSRM can also offer guidance for achieving higher imaging speed and spatial resolution in holography, coherent diffraction imaging, and fringe projection profilometry.”