Efficient Double Helix Detection with Steerable Filters.

bioRxiv

Department of Chemistry, Stanford University, Stanford, California 94305, USA.

Published: August 2025


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Article Abstract

We present an efficient detection scheme for localization of Double Helix point-spread functions for 3D single-molecule localization microscopy or tracking. Using steerable filters, we extract both 2D position and lobe orientation (axial position) estimates using just 7 convolutions, orders of magnitude less than used in deep learning based approaches. For a complete SMLM analysis pipeline, we pair this detection with a fitter using an optimally parameterized double Gaussian model, and implement both as a plugin for the open source PYthon Microscopy Environment (PYME).

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12393288PMC
http://dx.doi.org/10.1101/2025.08.14.670427DOI Listing

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