相关实验视频

Updated: Jun 30, 2025

Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.1K

在图像超分辨率中发现过度平滑的挑战:基于的量化和对比优化.

Tianshuo Xu, Lijiang Li, Peng Mi

    IEEE transactions on pattern analysis and machine intelligence
    |March 19, 2024
    PubMed
    概括

    超分辨率模型通常会因为中心导向优化 (COO) 问题而产生光滑的图像. 我们引入了DECLoss,以减少数据不确定性和增强图像细节,提高模型性能.

    更多相关视频

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.5K
    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals00:07

    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

    Published on: August 22, 2019

    8.0K

    相关概念视频

    Super-resolution Fluorescence Microscopy01:37

    Super-resolution Fluorescence Microscopy

    Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
    7.0K
    Deconvolution01:20

    Deconvolution

    Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
    Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
    159
    Reducing Line Loss01:18

    Reducing Line Loss

    In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
    With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
    152
    Upsampling01:22

    Upsampling

    Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
    234
    Difference from Background: Limit of Detection01:05

    Difference from Background: Limit of Detection

    The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
    The LOD indicates the presence or absence...
    6.4K
    Downsampling01:20

    Downsampling

    When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
    The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
    155