scholar.google.com › citations
Abstract. In single-particle reconstruction, a 3D structure is reconstructed from a large number of randomly oriented 2D projections, using techniques ...
In this paper, we discuss and further develop a maximum-likelihood approach to reconstruction, and demonstrate that this approach can help avoid incorrect local ...
Jun 21, 2024 · In this paper, we discuss and further develop a maximum-likelihood approach to reconstruction, and demonstrate that this approach can help avoid ...
Avoiding Local Optima in Single Particle Reconstruction. https://doi.org/10.1007/11415770_10 · Full text. Journal: Lecture Notes in Computer Science Research ...
In this paper, we discuss and further develop a maximum-likelihood approach to reconstruction, and demonstrate that this approach can help avoid incorrect local ...
The central problem in "single-particle" cryo-EM is the problem of reconstructing a 3D shape from 2D projections of unknown orientations. It's the unknown ...
Aug 1, 2020 · Several strategies are routinely used to prevent over-fitting, the most common being independent refinement of two sides of a split dataset. In ...
Missing: Optima | Show results with:Optima
Single-particle reconstruction. In this chapter we'll consider some of the basic concepts behind cryo-EM single-particle structure determination.
Principles of cryo-EM single-particle image processing - PMC - NCBI
www.ncbi.nlm.nih.gov › PMC4749045
Dec 24, 2015 · Single-particle reconstruction is the process by which 3D density maps are obtained from a set of low-dose cryo-EM images of individual macromolecules.
The essential requirements for this to be possible include good specimen purification with conformational homogeneity, good ice embedding, absence of beam- ...
Missing: Optima | Show results with:Optima