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

Fast Fourier Transform01:10

Fast Fourier Transform

427
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...
427
Small interfering RNAs (siRNA)02:30

Small interfering RNAs (siRNA)

3.6K
3.6K
siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

16.9K
Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
16.9K
Singularity Functions for Shear01:26

Singularity Functions for Shear

174
In structural analysis, singularity functions are crucial in simplifying the representation of shear forces in beams under discontinuous loading. These functions describe discontinuous  variations in shear force across a beam with varying loads by using a single mathematical expression, regardless of the complexity of the loading conditions. The singularity functions are derived from creating a free-body diagram of the beam and then making conceptual cuts at specific points to examine the...
174
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

470
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
470
Solvating Effects02:12

Solvating Effects

7.5K
An understanding of the solvating effect helps rationalize the relation between solvation and acidity of the compound. In addition, this also explains the relative stability of conjugate bases for compounds with different pKa values. This lesson details, in-depth, the principle of solvating effects. The strength of an acid and the stability of its corresponding conjugate base are determined using pKa values. This observed relationship is a consequence of solvation, which is the interaction...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Development and validation of an event-specific detection method for WYN029GmA soybean based on TaqMan qPCR.

Frontiers in plant science·2026
Same author

Tunable electrostatic interactions of lipid-coated quantum dots with biological membranes.

bioRxiv : the preprint server for biology·2026
Same author

Development of a Cabernet Gernischt Grape Polysaccharide Nanoemulsion for the Preservation of Fleshy Prawn (Litopenaeus vannamei).

Journal of food science·2026
Same author

Chiral Self-Sorting Assembly of Au<sub>16</sub> Rings for Cancer Therapy via Enantioselectivity-Induced Ferroptosis and Apoptosis.

Angewandte Chemie (International ed. in English)·2026
Same author

Synergistic plasmonic enhancement in PM6:Y6 organic solar cells using hybrid gold nanostars and gold nanoparticles embedded in the AZO electron transport layer.

Physical chemistry chemical physics : PCCP·2026
Same author

O-GlcNAc and phosphorylation modifications on HtL1/FBA10 regulate wheat vernalization for flowering.

Nature communications·2025
Same journal

Cortical Brain Entropy Architecture Reveals Multidimensional Structure of Schizophrenia.

Biophysical reports·2026
Same journal

The oligomeric state of chitooligosaccharide deacetylase from the marine bacterium Vibrio campbellii.

Biophysical reports·2026
Same journal

Quantifying Species-Specific Binding Affinities of Transthyretin Aggregation Inhibitors.

Biophysical reports·2026
Same journal

Drosophila jump muscle myofibrils: A new tool for investigating activation and relaxation.

Biophysical reports·2026
Same journal

Optical tweezers combined with FRET tension sensor reveal force-dependent vinculin dynamics.

Biophysical reports·2026
Same journal

Role of E. coli acid resistance systems in proton motive force formation during fermentation.

Biophysical reports·2026
See all related articles

Related Experiment Video

Updated: Aug 20, 2025

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K

PySOFI: an open source Python package for SOFI.

Yuting Miao1, Shimon Weiss1,2,3, Xiyu Yi4

  • 1Department of Chemistry and Biochemistry, University of California, Los Angeles California.

Biophysical Reports
|November 25, 2022
PubMed
Summary
This summary is machine-generated.

PySOFI is a new open-source Python package for super-resolution optical fluctuation imaging (SOFI) analysis. It simplifies SOFI by providing flexible tools and documentation, encouraging wider adoption and development of this powerful imaging technique.

More Related Videos

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.1K
Polysome Purification from Soybean Symbiotic Nodules
07:02

Polysome Purification from Soybean Symbiotic Nodules

Published on: July 1, 2022

1.6K

Related Experiment Videos

Last Updated: Aug 20, 2025

Automatic Identification of Dendritic Branches and their Orientation
06:08

Automatic Identification of Dendritic Branches and their Orientation

Published on: September 17, 2021

2.0K
Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline
09:27

Measuring the Shape and Size of Activated Sludge Particles Immobilized in Agar with an Open Source Software Pipeline

Published on: January 30, 2019

7.1K
Polysome Purification from Soybean Symbiotic Nodules
07:02

Polysome Purification from Soybean Symbiotic Nodules

Published on: July 1, 2022

1.6K

Area of Science:

  • Biophysics
  • Optical Imaging
  • Computational Science

Background:

  • Super-resolution optical fluctuation imaging (SOFI) offers advanced resolution without complex equipment.
  • Accessible, open-source software is crucial for SOFI's widespread adoption and community engagement.
  • New researchers benefit from user-friendly tools for exploring and developing SOFI algorithms.

Purpose of the Study:

  • To introduce PySOFI, an open-source Python package designed for super-resolution optical fluctuation imaging (SOFI) analysis.
  • To provide a flexible and extensible platform for inspecting, testing, modifying, and improving SOFI algorithms.
  • To facilitate the adoption, dissemination, and prototyping of new SOFI-related methods.

Main Methods:

  • Development of PySOFI, a modular Python package for SOFI data analysis.
  • Creation of comprehensive documentation and illustrative Jupyter Notebooks.
  • Design of an architecture allowing for easy extension and modification of SOFI algorithms.

Main Results:

  • PySOFI offers a flexible framework for SOFI analysis.
  • The package includes detailed documentation and usage examples.
  • PySOFI is designed for extensibility, enabling the integration of new SOFI algorithms.

Conclusions:

  • PySOFI is expected to accelerate the adoption and development of super-resolution optical fluctuation imaging techniques.
  • The package empowers researchers to easily utilize, adapt, and extend SOFI algorithms.
  • PySOFI fosters community involvement and innovation in the field of optical super-resolution imaging.