Data on spatial activity dependent proton dynamics in the awake brain measured with a novel CMOS-based bio-image sensor

This dataset consists of one .xlsx spreadsheet with five tabs, and one TIFF image. The data relate to the performance of a CMOS-based bio-image sensor capable of measuring proton dynamics in the brain in vivo with high spatio-temporal resolution.

The Excel spreadsheet, Source Data.xlsx, contains the the data underlying Figures 2c, 2d, 4a, 4b, 5b, 5c from the related manuscript (described below), as well as Supplementary Figures 1c, 1d, 4b. Summarised details are as follows:
- Figures 2c and 2d: Changes in pH caused by visual stimuli. (drifting gratings at different orientations) at pixel-by-pixel resolution.
- Figures 4a and 4b: The proportions of pixels with pH changes defined as actual changes in brain pH pooled across (a) all nine experiments in mouse brains, or (b) all three experiments in HEPES buffered saline.
- Figure 5b: The number of pixels with statistically significant changes in brain pH summarised for all observations in mice or in HEPES buffered saline for each direction of visual stimulation.
- Fig 5c: The number of pixels with significant changes in pH pooled across all eight drifting grating directions.
- Supplementary Figure 1c: Representative voltage outputs in the three different pH calibration buffers (pH 4.01, 6.86, 9.18).
- Supplementary Figure 1d: Standard deviation of voltage outputs (i.e. inter-pixel variation) in the three pH calibration buffers (pH 4.01, 6.86, 9.18) summarised across 12 sensors.
- Supplementary Fig 4b: Time course change of alkaline response, neutral response, or acidic response summarised over all experiments.

The TIFF image, Source Data_Supplementary Figure 3.tif includes a mouse brain section after the insertion of the pH sensor. This TIFF image has bit depth = 16, so may require special software to correctly view/interpret.

The related publication aimed to demonstrate that spatially distinct visual stimulation, and ergo neural activity, induced distinct patterns of proton changes in the visual cortex. The publication also describes the development of a novel insertion-type CMOS-based proton image sensor with high spatial and temporal precision, which is subsequently used to perform the experiments.