Reducing noise in extended depth of field microscope images by optical manipulation of the point spread function
نویسندگان
چکیده
This work describes improved methods and algorithms for implementing extended depth of field (EDF) microscopy through point spread function (PSF) engineering. It utilizes adaptive optics to create a test bed on which to evaluate new phase shapes for EDF. Being able to quickly and cheaply design novel PSFs is essential to overcome limitations of EDF that have prevented the technology from reaching mainstream use. Further improvement is made by reducing the noise normally seen in EDF images. Computational optics principles are used to first encode the noise with an identifiable pattern and a specially-tailored non-linear algorithm then removes the noise. This approach improves a microscope's imaging capabilities in photon-starved applications such as live-cell fluorescence and object tracking.
منابع مشابه
Noise removal in extended depth of field microscope images through nonlinear signal processing.
Extended depth of field (EDF) microscopy, achieved through computational optics, allows for real-time 3D imaging of live cell dynamics. EDF is achieved through a combination of point spread function engineering and digital image processing. A linear Wiener filter has been conventionally used to deconvolve the image, but it suffers from high frequency noise amplification and processing artifacts...
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