相关实验视频

Updated: Sep 9, 2025

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

17.8K

在有限的数据下使用物理-ASIC架构驱动的深度学习光子计数探测器模型

Xiaopeng Yu, Qianyu Wu, Wenhui Qin

    IEEE transactions on medical imaging
    |September 4, 2025
    PubMed
    概括

    本研究介绍了光子计数计算机断层扫描 (PCCT) 检测器的深度学习模型. 该模型准确地捕获探测器响应,改善了有限的校准数据的材料分解.

    更多相关视频

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning12:06

    Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

    Published on: March 3, 2023

    4.2K
    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution08:48

    Optical Recording of Suprathreshold Neural Activity with Single-cell and Single-spike Resolution

    Published on: September 5, 2012

    12.0K

    相关概念视频

    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...
    7.1K
    Light Acquisition02:16

    Light Acquisition

    In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
    8.6K
    Maxwell-Boltzmann Distribution: Problem Solving01:20

    Maxwell-Boltzmann Distribution: Problem Solving

    Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
    This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
    1.7K