Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Vector Representation of Complex Numbers01:16

Vector Representation of Complex Numbers

106
Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
Consider a function defined as the product of the complex factors in the numerator divided by the product of the complex factors in the...
106
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

173
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
173
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

157
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
157
Transformation of Plane Strain01:12

Transformation of Plane Strain

157
When analyzing elongated structures like bars subjected to uniformly distributed loads, it is essential to understand the transformation of plane strain when coordinate axes are rotated. This transformation helps to assess how material deformation characteristics vary with orientation, which is crucial in materials science and structural engineering.
Under plane strain conditions, typical for members where one dimension significantly exceeds the others, deformations and resultant strains are...
157
Deformations in a Transverse Cross Section01:21

Deformations in a Transverse Cross Section

172
When a material is subjected to uniaxial stress, it elongates or contracts in the direction of the applied force, and also undergoes changes in the perpendicular directions. This behavior is crucial for understanding how materials behave under stress and is governed by mechanical properties such as Poisson's ratio v, which measures the ratio of transverse strain to axial strain.
As the material stretches, it expands or contracts in orthogonal directions to the load. This phenomenon varies...
172
Conservation of Mass in Fixed, Nondeforming Control Volume01:07

Conservation of Mass in Fixed, Nondeforming Control Volume

909
The principle of conservation of mass is fundamental in fluid dynamics and is crucial for analyzing flow within fixed control volumes, such as pipes or ducts. This principle states that the total mass within a control volume remains constant unless altered by the inflow or outflow of mass through the control surfaces. This results in a vital relationship for steady, incompressible flow where the mass entering a system equals the mass leaving it.
In the case of a sewer pipe, which can be modeled...
909

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From Screening-Level Profiling of Novel Brominated Flame Retardants to a Putative AOP-Informed Framework for DBDPE-Induced Cognitive Impairment in Zebrafish.

Environmental science & technology·2026
Same author

The impacts and potential affecting mechanism of pile-driving noise on metabolism of the thick-shell mussel Mytilus coruscus.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Effects and underlying mechanisms of tetrabromobisphenol A on glucose and lipid metabolism in goldfish.

Journal of environmental sciences (China)·2026
Same author

Benzo[a]pyrene induces non-alcoholic fatty liver disease by exacerbating hepatic senescence and disrupting gut-liver axis in zebrafish.

Journal of hazardous materials·2026
Same author

Mechanism and therapeutic significance of ARV-110 combined with a PDGFR inhibitor for the induction of apoptosis in castration-resistant prostate cancer cells through the ROS/JNK pathway.

Cell death & disease·2026
Same author

Nuclear hexokinase 2 couples hyperglycemia to MYC-driven glycolytic and stemness programs in bladder cancer.

Cell death & disease·2026

Related Experiment Video

Updated: Jun 6, 2025

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

9.4K

Reconstruction of a complex-valued object without a support constraint.

Mengxin Liu, Wenke Cao, Guangxu Liu

    Optics Letters
    |November 27, 2024
    PubMed
    Summary
    This summary is machine-generated.

    A new algorithm reconstructs complex objects from incomplete diffraction data. The continuous hybrid input-output (CHIO) method improves accuracy for coherent diffraction microscopy.

    More Related Videos

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
    08:52

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

    Published on: November 27, 2017

    23.1K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    6.9K

    Related Experiment Videos

    Last Updated: Jun 6, 2025

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
    09:04

    Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

    Published on: February 23, 2018

    9.4K
    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
    08:52

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

    Published on: November 27, 2017

    23.1K
    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
    12:27

    Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

    Published on: February 15, 2017

    6.9K

    Area of Science:

    • * Coherent diffraction imaging
    • * Computational microscopy
    • * X-ray imaging

    Background:

    • * Reconstructing complex-valued objects from diffraction patterns is crucial for advanced imaging.
    • * Existing methods struggle with missing data and object support constraints.
    • * Nonnegative constraints are vital for accurate object retrieval in diffraction microscopy.

    Purpose of the Study:

    • * To develop a robust method for reconstructing nonnegative complex-valued objects from incomplete diffraction patterns.
    • * To improve upon the hybrid input-output (HIO) algorithm for coherent diffraction microscopy.
    • * To address challenges posed by missing central data in diffraction patterns.

    Main Methods:

    • * Implementation of a continuous hybrid input-output (CHIO) algorithm.
    • * Application of double nonnegative constraints on the real and imaginary parts of the object.
    • * Linear recovery of missing central diffraction data prior to iterative reconstruction.

    Main Results:

    • * The CHIO algorithm successfully reconstructed complex-valued objects without support constraints from partially missing diffraction data.
    • * Simulations and experiments demonstrated superior accuracy and reduced reconstruction errors compared to the standard HIO algorithm.
    • * The method effectively handled missing data at the center of the diffraction pattern.

    Conclusions:

    • * The CHIO algorithm provides a robust and accurate approach for complex object reconstruction in coherent diffraction imaging.
    • * This method enhances the capabilities of coherent diffraction microscopy, particularly for biological samples.
    • * The findings offer a significant advancement for soft x-ray and visible light laser-based microscopy techniques.