This contribution presents a joint phase compensation and autofocusing method for telecentric off-axis Digital Holographic Microscopy (DHM). Current challenges of off-axis DHM systems applied to in-vivo imaging are the automatic reconstruction of phase images without phase distortions while the specimens under research move within the volume, generating out-of-focus holograms. Although different proposals to tackle these challenges individually have been reported for static samples, in this proposal, both issues are solved concurrently with no additional user intervention. As a result, in-focus compensated phase images of the out-of-focus studied samples are obtained. The proposal has been validated using simulated data.
One of the most common tools to recover the phase information of unstained microscopic translucent samples is Digital Holographic Microscopy (DHM). This imaging technique has a broad number of applications in biology and biomedicine. Nonetheless, to reconstruct an aberration-free phase image using DHM, a computationally demanding numerical process must be precisely executed. In this contribution, we present a generative adversarial network to fully compensate and reconstruct DHM holograms without the need for any computational process directly from the recorded hologram.
Images recorded by coherent imaging systems, including laser-based photography, digital holography (DH), and digital holographic microscopy (DHM), are severely distorted by speckle noise. We present a single-shot image processing method to reduce the speckle noise, coined hybrid median–mean filter (HM2F), which is based on the average of conventional median-filtered images with different kernel sizes. The synergic combination of the median filter and mean approach provides a denoised image with reduced speckle contrast while the spatial resolution is kept at up to 97% of the original value. The HM2F method is compared with the conventional median filter approach, the 3D block matching filter, the nonlocal means filter, the 2D windowed Fourier transform filter, and the Wiener filter using different speckle-distorted images to benchmark its performance. Based on the experimental results and the simplicity of the technique, HM2F is proposed as an effective denoising tool for reducing the speckle noise in laser-based photography, DH, and DHM.
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