Details

Autor(en) / Beteiligte

• Grull, F.
• Kirchgessner, M.
• Kaufmann, R.
• Hausmann, M.
• Kebschull, U.

Titel

Accelerating Image Analysis for Localization Microscopy with FPGAs

Ist Teil von

• 2011 21st International Conference on Field Programmable Logic and Applications, 2011, p.1-5

Ort / Verlag

IEEE

Erscheinungsjahr

2011

Quelle

IEEE Xplore

Beschreibungen/Notizen

• Localization microscopy enhances the resolution of fluorescence light microscopy by about an order of magnitude. Single fluorescent molecules act as switchable markers. Their detected signals can be fitted with a two-dimensional Gaussian distribution and thus located with sub-pixel resolution. In this paper we propose that these fits can be done by calculating the center of mass instead of an iterative least-square fit without loosing precision. The simplification of the algorithm leads to an acceleration of more than a factor of 100 and enables an FPGA implementation with an additional performance boost by a factor of 225. Our findings allow the real-time processing of current and future image data rates in localization microscopy.