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Welcome to the PANELM wiki!

This repository is distributed as accompanying software for publication: Weisong Zhao et al. Quantitatively mapping local quality at super-resolution scale by rolling Fourier ring correlation, , X, XXX-XXX (2022), allowing rFRC mapping and PANEL pinpointing.

The rFRC is for quantitatively mapping the local image quality (data uncertainty), and the PANEL is for biologists to qualitatively pinpoint regions with low reliability as a concise visualization. The lower effective resolution gives a higher probability to the error existence, and thus we can use it to represent the uncertainty revealing the error distribution.

We accompany our filtered rFRC with truncated RSM (resolution-scaled error map) as a full PANEL` map, but this RSM is an optional feature that can be turn off as the wide-field reference being unavailable.

Note that our rFRC and PANEL cannot fully pinpoint the unreliable regions induced by the model bias, which would require more extensive characterization and correction routines based on the underlying theory of the corresponding models.