https://3demmethods.i2pc.es/index.php?action=history&feed=atom&title=2024Xu_MarkerAuto2 2026-06-13T12:13:02Z Revision history for this page on the wiki MediaWiki 1.44.2 https://3demmethods.i2pc.es/index.php?title=2024Xu_MarkerAuto2&diff=4719&oldid=prev 2024-08-21T06:25:31Z

<p>Created page with &quot;== Citation == Xu, Zihe / Li, Hongjia / Wan, Xiaohua / Fernández, Jose-Jesus / Sun, Fei / Zhang, Fa / Han, Renmin. Markerauto2: A fast and robust fully automatic fiducial marker-based tilt series alignment software for electron tomography. 2024. Structure, Vol. 32, p. 1-12 == Abstract == Cryoelectron tomography (cryo-ET) has become an indispensable technology for visualizing in situ biological ultrastructures, where the tilt series alignment is the key step to obtain...&quot;</p> <p><b>New page</b></p><div>== Citation ==<br /> <br /> Xu, Zihe / Li, Hongjia / Wan, Xiaohua / Fernández, Jose-Jesus / Sun, Fei / Zhang, Fa / Han, Renmin. Markerauto2: A fast and robust fully automatic fiducial marker-based tilt series alignment software for electron tomography. 2024. Structure, Vol. 32, p. 1-12<br /> <br /> == Abstract ==<br /> <br /> Cryoelectron tomography (cryo-ET) has become an indispensable technology for visualizing in situ biological<br /> ultrastructures, where the tilt series alignment is the key step to obtain a high-resolution three-dimensional<br /> reconstruction. Specifically, with the advent of high-throughput cryo-ET data collection, there is an<br /> increasing demand for high-accuracy and fully automatic tilt series alignment, to enable efficient data processing.<br /> Here, we propose Markerauto2, a fast and robust fully automatic software that enables accurate<br /> fiducial marker-based tilt series alignment. Markerauto2 implements the following novel pipelines: (1) an<br /> accelerated high-precision fiducial marker detection with wavelet multiscale template, (2) an ultra-fast and<br /> robust fiducial marker tracking supported by hashed geometric features, (3) a high-angle fiducial marker supplementation<br /> strategy to produce more complete tracks, and (4) a precise and robust calibration of projection<br /> parameters with group-weighted parameter optimization. Comprehensive experiments conducted on both<br /> simulated and real-world datasets demonstrate the robustness, efficiency, and effectiveness of the proposed<br /> software.<br /> <br /> == Keywords ==<br /> <br /> == Links ==<br /> <br /> https://www.cell.com/structure/fulltext/S0969-2126(24)00218-1<br /> <br /> == Related software ==<br /> <br /> == Related methods ==<br /> <br /> == Comments ==</div>

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