Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz - Nature Methods

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Mesoscale volumetric light-field (MesoLF) imaging of neuroactivity across cortical areas at 18 Hz - Nature Methods
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New technique captures unprecedented view of the active brain RockefellerUniv naturemethods

Comparison of root-mean-square error between ground truth and reconstructions obtained using pixel-space Richardson-Lucy reconstruction and MesoLF phase-space reconstructions, for the low- and high scattering scenarios. n = 8 data points represent runs with different simulated raw data. Comparison of the structure similarity index values between ground truth and reconstructions, same underlying data as in , n = 8 different simulation runs.

Comparison of segmentation performance of MesoLF versus CNMF-E in a 2D slice from a MesoLF recording in mouse cortex, depth 100 µm. Green circles: segments that strongly match with the ground truth. Blue circles: segments that only appear in the ground truth. Magenta circles: segments that are not consistent with ground truth. Comparison of precision, sensitivity, and F1-scores for neuron detection performance in CNMF-E and MesoLF segmentation. Same data as in main Fig.

, reproduced here for convenience. Height of bars: Mean. Error bars: s.d. Black circles: n = 5 simulation runs. Top panel: Illustration of 3D volume containing neurons and exhibiting scattering, as used for volumetric segmentation comparisons in remainder of figure. Schematic illustration of segmentation pipelines in CNMF-E and MesoLF . 3D rendering of segmentation results from CNMF-E and MesoLF . Magenta: Ground-truth neurons, green: segments.

Left column: Standard deviation images of simulated LFM movie containing temporally active neurons and a single plane from reconstructed SD image . The brightness values of neurons in the SD image is chosen such that dimmest neuron is 8 times dimmer than the brightest one . Right column: Same as left column with brightness scaled 5× for clarity. Result of morphological segmentation applied to simulated data shown in . Individual segments highlighted in different colors.

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