Biomedical subjects

P R Baldwin

Publications and source records attributed to P R Baldwin.

5 recordsLinked to original sources

PubMed2006

SPARX, a new environment for Cryo-EM image processing.

SPARX (single particle analysis for resolution extension) is a new image processing environment with a particular emphasis on transmission electron microscopy (TEM) structure determination. It includes a graphical user interface that provides a complete graphical programming environment with a novel data/process-flow infrastructure, an extensive library of Python scripts that perform specific TEM-related computational tasks, and a core library of fundamental C++ image processing functions. In addition, SPARX relies on the EMAN2 library and cctbx, the open-source computational crystallography library from PHENIX. The design of the system is such that future inclusion of other image processing libraries is a straightforward task. The SPARX infrastructure intelligently handles retention of intermediate values, even those inside programming structures such as loops and function calls. SPARX and all dependencies are free for academic use and available with complete source.

Computational Biology↗

PubMed2006

The Transform Class in SPARX and EMAN2.

We describe the Transform Class in SPARX/EMAN2 that is designed to handle rigid body motions of two- and three-dimensional data. We describe relationships between Eulerian angles conventions used in different electron microscopy software packages, as well as give examples of the simple scripts that execute conversions of Eulerian angles between these packages and handle other related tasks. The Transform Class is also responsible for generating point-group symmetry operations as well as generating quasi-evenly distributed points on the sphere (which is used in creating reference projections for structure refinement procedures in single particle reconstruction). We discuss how this is carried out internally in the code, and how symmetry operations are accessed through the SPARX interactive interface. We present a comprehensive description of symmetry operations for all point-group symmetries, as implemented in the class. Finally, we provide solutions to a number of typical problems associated with rotation operations-alignment of markers for dual-axis tomography, delineations of asymmetric subunits, quasi-uniform distribution of projection directions and such, and provide examples how these problems are solved using operations in the Transform Class.

Computational Biology↗

PubMed2005

Estimating alignment errors in sets of 2-D images.

We describe a robust and accurate method for the estimation of alignment errors for a set of two-dimensional images, in the case where the true pattern is unknown. The intended application of the proposed method is cryo-electron microscopy, where two-dimensional views of individual proteins in random orientations are observed in the electron microscope at low signal-to-noise ratio. By representing images in the basis of Fourier-harmonic coordinates and constructing averages and average intensities, we demonstrate that the variances of translation and rotational errors as well as of the Gaussian noise can be recovered. This machinery therefore allows one to isolate the various categories of errors that impede the quality of results in single particle reconstructions into constituent parts: translational errors, rotational errors, and additive noise.

Algorithms↗

PubMed2004

Dynamic gain control of dopamine delivery in freely moving animals.

Activity changes in a large subset of midbrain dopamine neurons fulfill numerous assumptions of learning theory by encoding a prediction error between actual and predicted reward. This computational interpretation of dopaminergic spike activity invites the important question of how changes in spike rate are translated into changes in dopamine delivery at target neural structures. Using electrochemical detection of rapid dopamine release in the striatum of freely moving rats, we established that a single dynamic model can capture all the measured fluctuations in dopamine delivery. This model revealed three independent short-term adaptive processes acting to control dopamine release. These short-term components generalized well across animals and stimulation patterns and were preserved under anesthesia. The model has implications for the dynamic filtering interposed between changes in spike production and forebrain dopamine release.

Adaptation, Physiological↗

PubMed1999

EMAN: semiautomated software for high-resolution single-particle reconstructions.

We present EMAN (Electron Micrograph ANalysis), a software package for performing semiautomated single-particle reconstructions from transmission electron micrographs. The goal of this project is to provide software capable of performing single-particle reconstructions beyond 10 A as such high-resolution data become available. A complete single-particle reconstruction algorithm is implemented. Options are available to generate an initial model for particles with no symmetry, a single axis of rotational symmetry, or icosahedral symmetry. Model refinement is an iterative process, which utilizes classification by model-based projection matching. CTF (contrast transfer function) parameters are determined using a new paradigm in which data from multiple micrographs are fit simultaneously. Amplitude and phase CTF correction is then performed automatically as part of the refinement loop. A graphical user interface is provided, so even those with little image processing experience will be able to begin performing reconstructions. Advanced users can directly use the lower level shell commands and even expand the package utilizing EMAN's extensive image-processing library. The package was written from scratch in C++ and is provided free of charge on our Web site. We present an overview of the package as well as several conformance tests with simulated data.

Algorithms↗