Sparse sampling image reconstruction in Lissajous trajectory beam-scanning multiphoton microscopy

Andreas C. Geiger; Justin A. Newman; Suhas Sreehari; Shane Z. Sullivan; Charles A. Bouman; Garth J. Simpson

doi:10.1117/12.2253514

22 February 2017 Sparse sampling image reconstruction in Lissajous trajectory beam-scanning multiphoton microscopy

Andreas C. Geiger, Justin A. Newman, Suhas Sreehari, Shane Z. Sullivan, Charles A. Bouman, Garth J. Simpson

Proceedings Volume 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II; 1007606 (2017) https://doi.org/10.1117/12.2253514
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Propagation of action potentials arises on millisecond timescales, suggesting the need for advancement of methods capable of commensurate volume rendering for in vivo brain mapping. In practice, beam-scanning multiphoton microscopy is widely used to probe brain function, striking a balance between simplicity and penetration depth. However, conventional beam-scanning platforms generally do not provide access to full volume renderings at the speeds necessary to map propagation of action potentials. By combining a sparse sampling strategy based on Lissajous trajectory microscopy in combination with temporal multiplexing for simultaneous imaging of multiple focal planes, whole volumes of cells are potentially accessible each millisecond.

Conference Presentation

Citation Download Citation

Andreas C. Geiger, Justin A. Newman, Suhas Sreehari, Shane Z. Sullivan, Charles A. Bouman, and Garth J. Simpson "Sparse sampling image reconstruction in Lissajous trajectory beam-scanning multiphoton microscopy", Proc. SPIE 10076, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II, 1007606 (22 February 2017); https://doi.org/10.1117/12.2253514

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