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 Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

17.7K
Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
17.7K
Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

19.8K
It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
19.8K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

10.6K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
10.6K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

545
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
545
Avoidance Learning and Learned Helplessness01:14

Avoidance Learning and Learned Helplessness

2.6K
Avoidance learning and learned helplessness are critical concepts in understanding behavioral responses to negative stimuli.
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
2.6K
Fast Fourier Transform01:10

Fast Fourier Transform

952
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
952

You might also read

Related Articles

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

Sort by
Same author

[Etiology and pathogens of fungal endophthalmitis].

[Zhonghua yan ke za zhi] Chinese journal of ophthalmology·2015
Same author

Eucommia ulmoides Oliv. bark aqueous extract inhibits osteoarthritis in a rat model of osteoarthritis.

Journal of ethnopharmacology·2015
Same author

Aucubin prevents interleukin-1 beta induced inflammation and cartilage matrix degradation via inhibition of NF-κB signaling pathway in rat articular chondrocytes.

International immunopharmacology·2015
Same author

Treatment with recombinant lubricin attenuates osteoarthritis by positive feedback loop between articular cartilage and subchondral bone in ovariectomized rats.

Bone·2015
Same author

Tet1-mediated DNA demethylation regulates neuronal cell death induced by oxidative stress.

Scientific reports·2015
Same author

Authors' reply.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association·2015
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: Feb 6, 2026

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
09:36

Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

Published on: August 26, 2021

4.5K

Fast analysis method for stochastic optical reconstruction microscopy using multiple measurement vector model sparse

Jingjing Wu, Siwei Li, Saiwen Zhang

    Optics Letters
    |August 15, 2018
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a faster method for super-resolution microscopy using the multiple measurement vector (MMV) model for compressed sensing (CS) in stochastic optical reconstruction microscopy (STORM). The new MMV-based sparse Bayesian learning (M-SBL) algorithm significantly reduces image reconstruction time while maintaining high resolution.

    More Related Videos

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
    14:23

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

    Published on: March 6, 2018

    11.4K
    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
    14:09

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

    Published on: November 16, 2019

    7.4K

    Related Experiment Videos

    Last Updated: Feb 6, 2026

    Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions
    09:36

    Direct Stochastic Optical Reconstruction Microscopy of Extracellular Vesicles in Three Dimensions

    Published on: August 26, 2021

    4.5K
    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy
    14:23

    Imaging Intermediate Filaments and Microtubules with 2-dimensional Direct Stochastic Optical Reconstruction Microscopy

    Published on: March 6, 2018

    11.4K
    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
    14:09

    High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

    Published on: November 16, 2019

    7.4K

    Area of Science:

    • Biophysics
    • Optical Microscopy
    • Computational Imaging

    Background:

    • Compressed sensing (CS) enhances temporal resolution in stochastic optical reconstruction microscopy (STORM).
    • Existing CS-STORM algorithms often use the single measurement vector (SMV) model, leading to lengthy computational times due to individual image recovery.
    • There is a need for faster reconstruction methods in CS-STORM to enable real-time imaging.

    Purpose of the Study:

    • To apply the multiple measurement vector (MMV) model CS algorithm to STORM imaging.
    • To evaluate the performance of the MMV-based sparse Bayesian learning (M-SBL) algorithm in terms of resolution and computational speed compared to SMV models.
    • To establish M-SBL as a viable method for real-time image reconstruction in CS-STORM.

    Main Methods:

    • Implementation of the MMV model CS algorithm for STORM image reconstruction.
    • Utilizing sparse Bayesian learning (SBL) within the MMV framework to solve the simultaneous sparse recovery problem.
    • Comparison of M-SBL with traditional SMV model CS algorithms using simulated and experimental data.

    Main Results:

    • The MMV model SBL (M-SBL) algorithm achieves imaging resolution comparable to SMV model algorithms.
    • Reconstruction time using M-SBL is drastically reduced, decreasing from hours to minutes.
    • Both simulated and experimental results validate the effectiveness of M-SBL.

    Conclusions:

    • The M-SBL algorithm offers comparable resolution to existing methods in CS-STORM.
    • M-SBL significantly accelerates the image reconstruction process, making it suitable for real-time applications.
    • This advancement positions M-SBL as a promising technique for real-time CS-STORM image reconstruction.