TY - GEN
T1 - Fast volumetric imaging of neural activity in deep brain
AU - Chang, Che Pin Jonathan
AU - Holy, Timothy E.
N1 - Publisher Copyright:
© 2021 SPIE.
PY - 2021
Y1 - 2021
N2 - Calcium imaging is a widely-used technique for recording neuronal activity. For deep-brain imaging, light scattering degrades image acquisition. To avoid imaging through thick tissue, one common approach is to implant a small lens system (a microendoscope) into the brain. But there is no technique to achieve fast volumetric imaging through such lenses, and this lack forces a choice between abandoning optical sectioning or sampling with risk of confusion from overlaps (when labeling is dense) or being limited to modest neural population size (when labeling is sparse). To address these limitations, we designed a novel imaging technique, RE-imaging Axial Light-sheet Microscopy (REALM), suitable for fast three-dimensional imaging through a microendoscope. REALM images via a tilted light-sheet, illuminating and collecting fluorescence emission with single objective. The first-stage “Maxwell theorem” microscope employs a matching pair of objectives to reimage sample volume onto a sawtooth mirror, which consists of a series of sub-micrometer scale angled surfaces. The sawtooth mirror redirects the light horizontally into the second-stage microscope, forming a crisp image of the illuminated near-axial plane. The whole second microscope system collects over 40% of light reflected by the sawtooth mirror, compared to previous studies 28% of light collection efficiency at numerical apertures that are unavailable for microendoscopy. This microscope will combine the speed and resolution advantages of light-sheet microscopy with the capabilities of microendoscopes for deep-brain imaging, providing the ability to perform fast three-dimensional imaging in deep tissue.
AB - Calcium imaging is a widely-used technique for recording neuronal activity. For deep-brain imaging, light scattering degrades image acquisition. To avoid imaging through thick tissue, one common approach is to implant a small lens system (a microendoscope) into the brain. But there is no technique to achieve fast volumetric imaging through such lenses, and this lack forces a choice between abandoning optical sectioning or sampling with risk of confusion from overlaps (when labeling is dense) or being limited to modest neural population size (when labeling is sparse). To address these limitations, we designed a novel imaging technique, RE-imaging Axial Light-sheet Microscopy (REALM), suitable for fast three-dimensional imaging through a microendoscope. REALM images via a tilted light-sheet, illuminating and collecting fluorescence emission with single objective. The first-stage “Maxwell theorem” microscope employs a matching pair of objectives to reimage sample volume onto a sawtooth mirror, which consists of a series of sub-micrometer scale angled surfaces. The sawtooth mirror redirects the light horizontally into the second-stage microscope, forming a crisp image of the illuminated near-axial plane. The whole second microscope system collects over 40% of light reflected by the sawtooth mirror, compared to previous studies 28% of light collection efficiency at numerical apertures that are unavailable for microendoscopy. This microscope will combine the speed and resolution advantages of light-sheet microscopy with the capabilities of microendoscopes for deep-brain imaging, providing the ability to perform fast three-dimensional imaging in deep tissue.
UR - http://www.scopus.com/inward/record.url?scp=85108705725&partnerID=8YFLogxK
U2 - 10.1117/12.2582619
DO - 10.1117/12.2582619
M3 - Conference contribution
AN - SCOPUS:85108705725
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics
A2 - Yang, V. X. D.
A2 - Luo, Q. M.
A2 - Mohanty, S. K.
A2 - Ding, J.
A2 - Roe, A. W.
A2 - Kainerstorfer, J. M.
A2 - Fu, L.
A2 - Shoham, S.
PB - SPIE
T2 - Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics 2021
Y2 - 6 March 2021 through 11 March 2021
ER -