Inter-plane crosstalk suppression for single-shot 3D reconstruction of interferenceless coded aperture correlation holography via Wiener deconvolution/TV-K constraint

Interferenceless coded aperture correlation holography (I -COACH), which utilizes spatial incoherent light illumination to achieve interferenceless and non-scanning three-dimensional (3D) imaging, has revolutionized the field of incoherent holography. However, existing correlation reconstruction algorithms often suffer from significant inter -plane crosstalk from multiple cross -sections of the sample, resulting in poor quality in 3D imaging. Here, we proposed a single-shot 3D reconstruction method of I -COACH via a Wiener deconvolution network combining total variation kernel (TV -K) functional constraint (WienerNet3D/TV-K). The method first performs multiple pairing of Wiener deconvolution and a convolutional neural network (CNN) and then uses the point spread hologram (PSH) library of the I -COACH system and object hologram (OH) as inputs, updating throughout the entire training process to learn the optimal filter and noise regularization parameters. Moreover, a TV -K function constraint is introduced to achieve more high-frequency details of the sample. Both simulation analysis and experimental results demonstrate that the proposed method has excellent performance in suppressing inter -plane crosstalk and significantly improves the signal -to -noise ratio in I -COACH 3D reconstruction. Importantly, this WienerNet3D/TV-K method will provide a useful strategy for the application of I -COACH dynamic 3D imaging in fluorescence microscopy, astronomy and other fields.