Difference between revisions of "Diesel user group"
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-Large field of view : ~5 x 5 mm2, encompassing distances up to 7 mm | -Large field of view : ~5 x 5 mm2, encompassing distances up to 7 mm | ||
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Revision as of 17:41, 7 September 2022
Under Construction
This page will serve as a home for the users of Diesel (Dual Independent Enhanced Scan Engines for Large field-of-view) multiphoton imaging systems
What is Diesel?
Diesel2p (Dual Independent Enhanced Scan Engines for Large field-of-view Two-Photon imaging) is a multiphoton imaging system designed by the Smith lab. With approximately a dozen systems currently in operation or ordered, this custom and fully open-sourced system allows for large field-of view-imaging with two independ scan engines. In addition to Diesel2p, a 4-channel version is in operation at the Chen lab and a three-photon version is operated by the Kara lab.
Overview of specifications
Diesel2p
-Dual independent scanning engines
-Large field of view : ~5 x 5 mm2, encompassing distances up to 7 mm
-Scan angles up to ±5 degrees at the objective back aperture
-Excitation windows of 910 ± 10 nm and 1050 nm ± 10 nm
Quadroscope
-Dual independent scanning engines
-Large field of view : ~5 x 5 mm2
-4-channel microscope (2 per scan engine)
Diesel3p
-Dual independent scanning engines
-Large field of view : ~5 x 5 mm2
-Allow simultaneous 2p + 3p imaging, achromatic at 920nm and 1300 nm
-8-mm long working distance, 360 degree rotatable, 0.54NA, air objective
Users
Publications
Diesel2p mesoscope with dual independent scan engines for flexible capture of dynamics in distributed neural circuitry
https://doi.org/10.1038/s41467-021-26736-4
Yu, Che-Hang ; Stirman, Jeffrey N. ; Yu, Yiyi ; Hira, Riichiro ; Smith, Spencer L. ( November 2021 , Nature Communications)
Flexible simultaneous mesoscale two-photon imaging of neural activity at high speeds
https://doi.org/10.1038/s41467-021-26737-3
Clough, Mitchell ; Chen, Ichun Anderson ; Park , Seong-Wook ; Ahrens , Allison M. ; Stirman, Jeffrey N.; Smith, Spencer L. ; Chen, Jerry L. ( November 2021 , Nature Communications)