Template matching on pure noise yields asymptotic convergence of maximum-likelihood class means and 3D reconstructions to deterministic noise-dependent transforms of the user templates, producing structure-from-noise artifacts.
Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs
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Structure from Noise: Confirmation Bias in Particle Picking in Structural Biology
Template matching on pure noise yields asymptotic convergence of maximum-likelihood class means and 3D reconstructions to deterministic noise-dependent transforms of the user templates, producing structure-from-noise artifacts.