Adaptive nonparametric detection in cryo-electron microscopy

11/29/2013
by   Mikhail Langovoy, et al.
0

Cryo-electron microscopy (cryo-EM) is an emerging experimental method to characterize the structure of large biomolecular assemblies. Single particle cryo-EM records 2D images (so-called micrographs) of projections of the three-dimensional particle, which need to be processed to obtain the three-dimensional reconstruction. A crucial step in the reconstruction process is particle picking which involves detection of particles in noisy 2D micrographs with low signal-to-noise ratios of typically 1:10 or even lower. Typically, each picture contains a large number of particles, and particles have unknown irregular and nonconvex shapes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/01/2018

APPLE Picker: Automatic Particle Picking, a Low-Effort Cryo-EM Framework

Particle picking is a crucial first step in the computational pipeline o...
research
10/22/2019

Image recovery from rotational and translational invariants

We introduce a framework for recovering an image from its rotationally a...
research
11/10/2016

Mahalanobis Distance for Class Averaging of Cryo-EM Images

Single particle reconstruction (SPR) from cryo-electron microscopy (EM) ...
research
09/14/2022

Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets

Single particle cryo-electron microscopy has become a critical tool in s...
research
09/29/2018

Toward single particle reconstruction without particle picking: Breaking the detection limit

Single-particle cryo-electron microscopy (cryo-EM) has recently joined X...
research
04/13/2021

Learning to recover orientations from projections in single-particle cryo-EM

A major challenge in single-particle cryo-electron microscopy (cryo-EM) ...
research
04/10/2020

Convolutional Neural Networks for Real-Time Localization and Classification in Feedback Digital Microscopy

We present an adapted single-shot convolutional neural network (YOLOv2) ...

Please sign up or login with your details

Forgot password? Click here to reset