منابع مشابه
TEM Video Compressive Sensing
One of the main limitations of imaging at high spatial and temporal resolution during in-situ TEM experiments is the frame rate of the camera being used to image the dynamic process. While the recent development of direct detectors has provided the hardware to achieve frame rates approaching 0.1ms, the cameras are expensive and must replace existing detectors. In this paper, we examine the use ...
متن کاملTemporal Compressive Sensing Instrumentation for TEM
Advances in compressive sensing (CS) techniques and instrumentation have created a renewed interest in exploring new methods for data collection and post-processing [1,2]. Recently developed Temporal CS (TCS) techniques based on post-specimen, high-speed electrostatic beam deflectors effectively multiply the frame rate of commonly available TEM cameras by pre-compressing video data on the detec...
متن کاملApplying compressive sensing to TEM video: a substantial frame rate increase on any camera
One of the main limitations of imaging at high spatial and temporal resolution during in-situ transmission electron microscopy (TEM) experiments is the frame rate of the camera being used to image the dynamic process. While the recent development of direct detectors has provided the hardware to achieve frame rates approaching 0.1 ms, the cameras are expensive and must replace existing detectors...
متن کاملCompressive video sensing with side information.
Our temporally compressive imaging system reconstructs a high-speed image sequence from a single, coded snapshot. The reconstruction quality, similar to that of other compressive sensing systems, often depends on the structure of the measurement, as well as the choice of regularization. In this paper, we report a compressive video system that also captures the side information to aid in the rec...
متن کاملCompressive video sensing with limited measurements
Compressive sensing (CS) is an innovative technology, allowing us to capture signals with significantly fewer samples than those required by classical Nyquist theory. We propose a novel adaptive video compressive sensing algorithm to exploit the potential of CS in video acquisition. Each frame is divided into blocks to take advantage of its inhomogeneity. We first classify the blocks into one o...
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ژورنال
عنوان ژورنال: Microscopy and Microanalysis
سال: 2015
ISSN: 1431-9276,1435-8115
DOI: 10.1017/s1431927615008697