The extraction of spatiotemporal neuron activity from calcium imaging videos plays a crucial
role in unraveling the coding properties of neurons. While existing neuron extraction …

Memristor-based platforms could be used to create compact and energy-efficient artificial
intelligence (AI) edge-computing systems due to their parallel computation ability in the …

Accurate alignment of calcium imaging data, which is critical for the extraction of neuronal
activity signals, is often hindered by the image noise and the neuronal activity itself. To …

Three-dimensional fluorescence microscopy has an intrinsic performance limit set by the
number of photons that can be collected from the sample in a given time interval. Here, we …

We report the development of deep decomposition and deconvolution microscopy (3DM), a
computational microscopy method for the volumetric imaging of neural activity. 3DM …

In this study, an effective robust PCA is developed for joint image alignment and recovery via
L2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …

As a vertebrate model animal, larval zebrafish are widely used in neuroscience and provide
a unique opportunity to monitor whole-brain activity at the cellular resolution. Here, we …

In this work, we propose a novel method for head pose estimation and face recovery,
particularly to solve the potential impacts of noises in signal processing to get an efficient …

Fluoroscopy is an imaging technique that uses X-ray to obtain a real-time 2D video of the
interior of a 3D object, helping surgeons to observe pathological structures and tissue …

In this study, an effective robust PCA is developed for joint image alignment and recovery via
L 2, 1 norms and affine transformations. To alleviate the potential impacts of outliers, heavy …