Which risk increases when iterative deconvolution improperly enhances microscopy images?

💡 Explanation

Deconvolution aims to sharpen images, but over-iteration amplifies noise; *ringing artifacts* occur because the algorithm struggles near point spread function limits by overly fitting data; therefore artifact intensities grow rather than the signal and obscure it, rather than improving detection.

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