Frequency-shift super-resolution (SR) microscopy, such as structured illumination microscopy (SIM) and Fourier ptychographic microscopy (FPM), can break the diffraction limit for the imaging of both fluorescently labeled and label-free samples by transferring the high spatial-frequency information into the passband of microscope. However, conventional SIM microscopy systems tend to be bulky and expensive, which limits its applications in various fields. Therefore, we’ve developed some chip-based frequency-shift SR technologies, which is compatible with conventional microscope, and can be further designed for portable imaging systems such as smart phone and so on. We also developed a deep-learning based imaging method to improve the imaging speed of frequency-shift super-resolution microscopy, which enables low-cost and fast super-resolution imaging for real-time live cell biological studies.
Linear super-resolution microscopy via synthesis aperture approach permits fast acquisition owing to its wide-field implementations. However, it has been limited in resolution because a spatial-frequency band missing occurs when trying to use a shift magnitude surpassing the cutoff frequency of the detection system beyond a factor of two, which distorts the image severely. Here, we propose a method of chip-based 3D nanoscopy through a tunable spatial-frequency-shift effect capable of covering the full extent of the spatial-frequency component within a wide passband. The missing of the spatial spectrum can be effectively solved by developing a spatial-frequency-shift active tuning approach through wave vector manipulation and operation of optical modes propagating along multiple azimuthal directions on a waveguide chip. Besides, the method includes a chip-based sectioning capability, which is enabled by the saturated absorption of fluorophores.
The main challenge in multimode fiber imaging is modal scrambling caused by environmental fluctuation. How to get high contrast and high stable imaging is the main question. In this presentation, we propose some methods to increase the contrast-to-noise ratio and stability of multimode fiber imaging. Wavelength modulation is introduced to suppress the background. Exhaustive bending effect was used to improve the imaging stability. Wavelength modulation is introduced to enhance the CNR four fold in a 200 μm field-of-view imaging. We show a near diffraction limited focusing capability at imaging depths of up to 150 µm with near constant lateral resolutions of 2.1 µm. The imaging of small fluorescent beads embedded in a 3D matrix was demonstrated.
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