Results 41 to 50 of about 2,299,757 (286)
In this paper, we present a method for reconstructing video from event data alone captured by an event camera. We employ point-spread-function engineering in the imaging optics to compress spatiotemporal information into each event. Dynamic scenes are reconstructed solely from the sparse, signed-polarity event data using a compressive sensing algorithm.
Yudai Yokoyama +3 more
openaire +2 more sources
A Spatial-Motion-Segmentation Algorithm by Fusing EDPA and Motion Compensation
Motion segmentation is one of the fundamental steps for detection, tracking, and recognition, and it can separate moving objects from the background. In this paper, we propose a spatial-motion-segmentation algorithm by fusing the events-dimensionality ...
Xinghua Liu +3 more
doaj +1 more source
Extracellular vesicle (EV) lipidomic profiling of plasma and ascites from patients with high‐grade serous ovarian cancer and of ovarian cancer cell lines reveals enrichment of triglycerides (TGs), diacylglycerols (DGs), phosphatidylcholine (PCs), sphingomyelins (SMs), reflecting tumor metabolic reprogramming.
Shikha Rani +9 more
wiley +1 more source
Analysis of object tracking algorithms performance on event-based datasets
The event-based camera represents a revolutionary concept, having an asynchronous output. The pixels of dynamic vision sensors react to the brightness change, resulting in streams of events at very small intervals of time.
Olaru, Alexandra (author)
core
Event Stream Denoising Method Based on Spatio-Temporal Density and Time Sequence Analysis
An event camera is a neuromimetic sensor inspired by the human retinal imaging principle, which has the advantages of high dynamic range, high temporal resolution, and low power consumption.
Haiyan Jiang +5 more
doaj +1 more source
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
Spike-Event Object Detection for Neuromorphic Vision
Neuromorphic vision is one of the novel research fields that study neuromorphic cameras and spiking neural networks (SNNs) for computer vision. Instead of computing on frame-based images, spike events are streamed from neuromorphic cameras, and novel ...
Yuan-Kai Wang +2 more
doaj +1 more source
This paper shows that size‐exclusion chromatography and sequential centrifugation applied to seminal plasma enrich for different populations of extracellular vesicles. This may significantly affect the detection and analysis of extracellular vesicle‐associated cancer biomarkers.
Elen Telumyan +8 more
wiley +1 more source
Intensity/Inertial Integration-Aided Feature Tracking on Event Cameras
Achieving efficient and accurate feature tracking on event cameras is a fundamental step for practical high-level applications, such as simultaneous localization and mapping (SLAM) and structure from motion (SfM) and visual odometry (VO) in GNSS (Global ...
Zeyu Li, Yong Liu, Feng Zhou, Xiaowan Li
doaj +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source

