supported by the National Key Research and Development Program of China(Grant Nos.2022YFC2808000,2022YFC2808003);Fundamental Research Funds for the Central Universities(Grant No.D5000220481);Natural Science Foundation of Shaanxi Province,China(Grant No.2024JC-YBMS-468)。
Water-related optical imaging constitutes a pivotal domain within the field of water-related optics and vision,furnishing essential tools for comprehending the water-related environment,harnessing water resources,and ...
supported by the National Natural Science Foundation of China(NSFC)(62135009,12274462).
Artificial intelligence has prevailed in all trades and professions due to the assistance of big data resources,advanced algorithms,and high-performance electronic hardware.However,conventional computing hardware is i...
supported by the National Key R&D Program of China(2023YFB4301800);the National Natural Science Foundation of China(52221005 and 52220105001);the Shui-Mu Scholar Program of Tsinghua University,China.
1 Introduction In recent years,advancements in onboard computing hardware and wireless communication technology have remarkably stimulated the development of intelligent and connected vehicles(ICVs).Specifically,some ...
National Natural Science Foundation of China(NSFC)(Nos.62235010,62175137,62122045,62075119);The Shanxi Science Fund for Distinguished Young Scholars(20210302121003).
The extension of dual-comb spectroscopy(DCS)to all wavelengths of light along with its ability to provide ultralarge dynamic range and ultra-high spectral resolution,renders it extremely useful for a diverse array of ...
This study was supported by the National Key R&D Program of China(2021YFC1712905);the National Natural Science Foundation of China(nos.82173941 and 61872319);the Key R&D Program of Zhejiang Province(no.2023C01039);Y.W.was supported by the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(no.ZYYCXTD-D-202002);the Fundamental Research Funds for the Central Universities(no.226-2023-00114).We thank L.Cai at the California Institute of Technology for providing the seqFISH+image data.We thank T.Walter for providing the pretrained MoCo model on the TCGA dataset.We thank W.K.Wang and L.Sun at Amazon Web Services China for their indispensable support in terms of computing resources and technology.We are grateful for the support from the ZJU PII-Molecular Devices Joint Laboratory and support from the“Medicine+X”interdisciplinary Center of Zhejiang University.
Accurate profiling of microscopy images from small scale to high throughput is an essential procedure in basic and applied biological research.Here,we present Microsnoop,a novel deep learning–based representation too...
This work presents a novel wavelet-based denoising technique for improving the signal-to-noise ratio(SNR)of nonsteady vibration signals in hardware redundant systems.The proposed method utilizes the relationship betwe...
This work was funded bythe National Institute of Health(R01CA238191,R01GM129709)。
Most whole slide imaging(WSI)systems today rely on the"stop-and-stare"approach,where,at each field of view,the scanning stage is brought to a complete stop before the camera snaps a picture.This procedure ensures that...
This work is supported in part by the National Key Research and Development Program of China(Program no.2019YFB2203700);the National Natural Science Foundation of China(Grant no.61822508).
Optical implementations of neural networks(ONNs)herald the next-generation high-speed and energy-efficient deep learning computing by harnessing the technical advantages of large bandwidth and high parallelism of opti...
The Ozcan Lab at UCLA acknowledges the support of NSF and HHMI.The Larin Lab at UH acknowledges the support of NIH(R01AA028406,R01HD096335,R01EB027099,and R01HL146745).
Optical coherence tomography(OCT)is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples.Here,we present a deep learning-based image reconstruction framework tha...
supported by the National Key Research and Development Program under Grant No.2019YFC0118404;the National Natural Science Foundation of China under Grant No.U20A20386;the Zhejiang Key Research and Development Program under Grant No.2020C01050;the Key Laboratory fund general project under Grant No.6142110190406;the Zhejiang Natural Science Foundation Project under Grant No.LY19F020044
For real-time edge systems such as autonomous driving,not only the correctness of task functions,but also the response and processing time of tasks should be satisfied.In the hardware selection phase of a real-time sy...