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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Lefman, Jonathan Scott, Keana Stranick, Stephan |
| Description | Country affiliation: United States Author Affiliation: Lefman J ( The National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA.) |
| Abstract | Structured illumination fluorescence microscopy is a powerful super-resolution method that is capable of achieving a resolution below 100 nm. Each super-resolution image is computationally constructed from a set of differentially illuminated images. However, real-time application of structured illumination microscopy (SIM) has generally been limited due to the computational overhead needed to generate super-resolution images. Here, we have developed a real-time SIM system that incorporates graphic processing unit (GPU) based in-line parallel processing of raw/differentially illuminated images. By using GPU processing, the system has achieved a 90-fold increase in processing speed compared to performing equivalent operations on a multiprocessor computer--the total throughput of the system is limited by data acquisition speed, but not by image processing. Overall, more than 350 raw images (16-bit depth, 512 × 512 pixels) can be processed per second, resulting in a maximum frame rate of 39 super-resolution images per second. This ultrafast processing capability is used to provide immediate feedback of super-resolution images for real-time display. These developments are increasing the potential for sophisticated super-resolution imaging applications. |
| File Format | HTM / HTML |
| ISSN | 14319276 |
| Issue Number | 2 |
| Journal | Microscopy and Microanalysis |
| Volume Number | 17 |
| e-ISSN | 14358115 |
| Language | English |
| Publisher | Cambridge University Press |
| Publisher Date | 2011-04-01 |
| Publisher Place | United States |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Discipline Chemistry Techniques Computer Graphics Instrumentation Image Processing, Computer-assisted Methods Microscopy, Fluorescence Microscopy, Video Journal Article Research Support, N.i.h., Extramural |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation |
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