Biophotonics
Deconvolution algorithms are mathematical techniques used to enhance the resolution of images obtained through microscopy by reversing the effects of convolution. In microscopy, convolution occurs due to the optical system's point spread function, which blurs the final image, making it difficult to distinguish between closely spaced structures. Deconvolution algorithms help restore the original distribution of light, enabling clearer visualization of fine details in samples, which is essential for achieving super-resolution imaging.
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