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A challenge in neuroimaging is acquiring frame sequences at high temporal resolution from the largest possible number of pixels. Measuring 1%-10% fluorescence changes normally requires 12-bit or higher bit depth, constraining the frame size allowing imaging in the kHz range. We resolved Ca or membrane potential signals from cell populations or single neurons in brain slices by acquiring fluorescence at 8-bit depth and by binning pixels offline, achieving unprecedented frame sizes at kHz rates. In hippocampal slices stained with the Ca indicator Fluo-4 AM, we resolved transients at 2 kHz from large frames. Along the apical dendrite of a layer-5 pyramidal neuron, we measured Ca signals associated with a back-propagating action potential at 10 kHz. Finally, in the axon initial segment of the same cell type, we recorded an action potential at 40 kHz by voltage-sensitive dye imaging. This approach unlocks the potential for a range of imaging measurements.
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http://dx.doi.org/10.1002/jbio.202400513 | DOI Listing |
IEEE Trans Comput Aided Des Integr Circuits Syst
November 2024
School of Engineering, Brown University, 345 Brook Street, Providence, RI 02912, USA.
While Vision Transformers (ViTs) have shown consistent progress in computer vision, deploying them for real-time decision-making scenarios (< 1 ms) is challenging. Current computing platforms like CPUs, GPUs, or FPGA-based solutions struggle to meet this deterministic low-latency real-time requirement, even with quantized ViT models. Some approaches use pruning or sparsity to reduce model size and latency, but this often results in accuracy loss.
View Article and Find Full Text PDFJ Neural Eng
May 2025
Epilepsy Center, Department of Neurosurgery, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
. Up to one third of epilepsy patients do not achieve satisfactory seizure control and may benefit from implantable devices for responsive neurostimulation or online seizure monitoring. Beyond energy efficiency, the limited memory capacity in these devices, imposes significant constraints to algorithmic design of seizure detection models.
View Article and Find Full Text PDFSci Rep
March 2025
Faculty of Engineering & IT, University of Technology Sydney, Sydney, Australia.
Chaos-based encryption methods have gained popularity due to the unique properties of chaos. The performance of chaos-based encryption methods is highly impacted by the values of initial and control parameters. Therefore, this work proposes Iterative Cosine operator-based Hippopotamus Optimization (ICO-HO) to select optimal parameters for chaotic maps, which is further used to design an adaptive image encryption approach.
View Article and Find Full Text PDFJ Biophotonics
March 2025
Univ. Grenoble Alpes, CNRS, LIPhy, Grenoble, France.
A challenge in neuroimaging is acquiring frame sequences at high temporal resolution from the largest possible number of pixels. Measuring 1%-10% fluorescence changes normally requires 12-bit or higher bit depth, constraining the frame size allowing imaging in the kHz range. We resolved Ca or membrane potential signals from cell populations or single neurons in brain slices by acquiring fluorescence at 8-bit depth and by binning pixels offline, achieving unprecedented frame sizes at kHz rates.
View Article and Find Full Text PDFOpt Express
August 2024
The digital light processing (DLP) projector has been widely used in fringe projection profilometry (FPP). The bit depth of the projected fringes is mostly 8-bit or 1-bit to pursue higher measuring accuracy or speed. In this paper, a bit error model is established to evaluate phase quality of the projected fringes with different bit depths.
View Article and Find Full Text PDF