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

Structural Protein Function01:56

Structural Protein Function

29.9K
Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity.  In bones and teeth, it mineralizes to...
29.9K
Transfer Function to State Space01:23

Transfer Function to State Space

778
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an RLC...
778
State Space to Transfer Function01:21

State Space to Transfer Function

569
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
569
Fruit Development, Structure, and Function01:58

Fruit Development, Structure, and Function

25.1K
Fruits form from a mature flower ovary. As seeds develop from the ovules contained within, the ovary wall undergoes a series of complex changes to form fruit. In some fruits, such as soybeans, the ovary wall dries; in other fruits, such as grapes, it remains fleshy. In some cases, organs other than the ovary contribute to fruit formation; such fruits are called accessory fruits.
25.1K
Transfer function and Bode Plots-II01:23

Transfer function and Bode Plots-II

732
In the standard form, the transfer function is shown in constant gain, poles/zeros at origin, simple poles/zeros, and quadratic poles/zeros; each contributing uniquely to the system's overall response. The term represents the magnitude of the simple zero:
732
Structure and Function of Erythrocytes01:29

Structure and Function of Erythrocytes

5.5K
There are between 4.2 and 6 million erythrocytes, also known as red blood cells, in every microliter of blood. These cells are small, flattened biconcave discs with centers that are depressed.
The erythrocyte plasma membrane is associated with proteins such as spectrin, which forms a flexible cytoplasmic meshwork. This meshwork allows erythrocytes to twist, turn, become cup-shaped, and regain their biconcave shape as they pass through narrow capillaries. Additionally, erythrocytes can form...
5.5K

You might also read

Related Articles

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

Sort by
Same author

HoloBio: A holographic microscopy tool for quantitative biological analysis.

PLoS computational biology·2026
Same author

3D Image Acquisition and Display: Technology, Perception and Applications 2025: introduction.

Applied optics·2026
Same author

Feature issue introduction: 3D image acquisition and display: technology, perception and applications.

Optics express·2026
Same author

Deoxygenation-free digital holographic microscopy discriminates sickle-cell disease in a piloted Colombian cohort via phase and shape metrics.

Optics express·2026
Same author

Automated and robust nonrigid registration of serial section microscopic images using PiCNoR.

Scientific reports·2026
Same author

Compact extended-DOF microscope through electrowetting lens.

Optics express·2025
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
11:55

Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

Published on: May 28, 2021

4.7K

Optical transfer function engineering for a tunable 3D structured illumination microscope.

Hasti Shabani, Ana Doblas, Genaro Saavedra

    Optics Letters
    |April 2, 2019
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel three-dimensional structured illumination microscopy (3D-SIM) system. It decouples optical sectioning and super-resolution capabilities, enabling independent tuning for enhanced imaging applications.

    More Related Videos

    Measuring Properties of the Membrane Periodic Skeleton of the Axon Initial Segment using 3D-Structured Illumination Microscopy 3D-SIM
    07:40

    Measuring Properties of the Membrane Periodic Skeleton of the Axon Initial Segment using 3D-Structured Illumination Microscopy 3D-SIM

    Published on: February 11, 2022

    2.4K
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    26.1K

    Related Experiment Videos

    Last Updated: Jan 27, 2026

    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells
    11:55

    Cryo-Structured Illumination Microscopic Data Collection from Cryogenically Preserved Cells

    Published on: May 28, 2021

    4.7K
    Measuring Properties of the Membrane Periodic Skeleton of the Axon Initial Segment using 3D-Structured Illumination Microscopy 3D-SIM
    07:40

    Measuring Properties of the Membrane Periodic Skeleton of the Axon Initial Segment using 3D-Structured Illumination Microscopy 3D-SIM

    Published on: February 11, 2022

    2.4K
    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors
    11:15

    A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors

    Published on: May 30, 2016

    26.1K

    Area of Science:

    • Optics and Photonics
    • Microscopy
    • Biomedical Imaging

    Background:

    • Three-dimensional structured illumination microscopy (3D-SIM) offers optical sectioning (OS) and super-resolution (SR) but these features are typically coupled.
    • Existing 3D-SIM systems face limitations in independently optimizing OS and SR performance.

    Purpose of the Study:

    • To develop and analyze a novel 3D-SIM system capable of independently tuning lateral and axial modulation frequencies.
    • To engineer the synthetic optical transfer function (OTF) for optimized OS and SR performance in specific imaging applications.

    Main Methods:

    • Utilized a Fresnel biprism illuminated by multiple linear incoherent sources to generate a structured illumination pattern.
    • Demonstrated separate tunability of lateral and axial modulation frequencies.
    • Analyzed the compact support of the synthetic OTF for performance engineering.

    Main Results:

    • Achieved independent control over lateral and axial modulation frequencies in the structured illumination pattern.
    • Showcased the ability to engineer the synthetic OTF support for tailored OS and SR capabilities.
    • Provided theoretical performance comparison against established SIM systems.

    Conclusions:

    • The developed 3D-SIM system successfully decouples OS and SR, offering enhanced flexibility.
    • Engineered OTF support allows for optimized imaging performance based on application-specific requirements.
    • This approach presents a significant advancement in 3D-SIM technology for advanced microscopy.