Which risk increases noticeably when optimizing the deconvolution function for microscope image processing?

💡 Explanation

Optimizing the deconvolution `function` amplifies noise via error propagation; this is because deconvolution sharpens features, enhancing both signal and noise, therefore, exaggerated artifacts appear, rather than other optical distortions which are impacted by lens properties.

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