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eNeuroNeurosciencePeer-reviewed journal article

High sensitivity intrinsic optical signal imaging through flexible, low-cost adaptations of an upright microscope

Brenda Vasquez, Baruc CamposiD, Ashley Cao, Aye Theint Theint, William ZeigeriD

PDFDOIPreprint

Abstract

Intrinsic optical signal imaging (IOSI) is a staple technique in modern neuroscience. Pioneered over thirty years ago, IOSI allows macroscopic mapping of neuronal activity throughout the cortex. The technique has been used to study sensory processing and experience-dependent plasticity, and is often used as an adjunctive procedure to localize cortical areas for subsequent targeting by other imaging or physiology techniques. Despite the ubiquity of IOSI in neuroscience there are few commercially available IOSI systems. As a result, investigators have typically resorted to building their own imaging systems. Over the years, simplified systems built on existing microscope platforms have been proposed. Still, these often require additional, sometimes costly, custom-built hardware, which presents challenges for investigators without significant experience in optics or microscopy design. Here we present a straightforward set of adaptations that can be applied to any standard upright microscope, using readily available, inexpensive, commercial parts for illumination, optics, and signal detection, that enables high sensitivity IOSI. Using these adaptations, we are able to readily map sensory-evoked signals across the somatosensory and visual cortex, including single-whisker barrel cortical activity maps in mice. We show that these IOSI maps are highly reproducible across animals and can be used to study plasticity mechanisms in the somatosensory cortex. We also provide open-source applications to control illumination and analyze raw data to generate activity maps. We anticipate these resources will be particularly useful for neuroscience investigators from broad technical backgrounds looking to add IOSI capabilities to an existing microscope on a budget.

Citations
13
FWCI
2.14
Field percentile
top 13%

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