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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.6K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
14.6K
Confirmation Biases01:31

Confirmation Biases

8.3K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
8.3K
Hindsight Biases01:12

Hindsight Biases

4.3K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.3K
Bias01:22

Bias

7.4K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
7.4K
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

1.3K
At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
1.3K
Correspondence Bias01:17

Correspondence Bias

228
Correspondence bias, also referred to as the fundamental attribution error, describes the tendency to attribute another person’s behavior to internal characteristics rather than situational influences. This cognitive bias leads individuals to overlook external factors that may be influencing actions, thereby fostering potentially inaccurate assessments of others’ intentions and dispositions.Empirical Evidence for Correspondence BiasResearch has consistently demonstrated the...
228

You might also read

Related Articles

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

Sort by
Same author

Spectral Narrowing of Ag-In-Ga-S Nanocrystals Enabled by Component Engineering.

ACS nano·2026
Same author

Correction to "Single-Molecule Orientation Imaging Reveals the Nano-Architecture of Amyloid Fibrils Undergoing Growth and Decay".

Nano letters·2025
Same author

Single-fluorogen imaging reveals distinct environmental and structural features of biomolecular condensates.

Nature physics·2025
Same author

Differential interactions determine anisotropies at interfaces of RNA-based biomolecular condensates.

Nature communications·2025
Same author

Painting rich six-dimensional pictures using polarized fluorescence microscopy.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Nuclear speckle proteins form intrinsic and <i>MALAT1</i> -dependent microphases.

bioRxiv : the preprint server for biology·2025
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 5, 2026

Conventional BODIPY Conjugates for Live-Cell Super-Resolution Microscopy and Single-Molecule Tracking
07:49

Conventional BODIPY Conjugates for Live-Cell Super-Resolution Microscopy and Single-Molecule Tracking

Published on: June 8, 2020

8.8K

Minimizing Structural Bias in Single-Molecule Super-Resolution Microscopy.

Hesam Mazidi1, Jin Lu1, Arye Nehorai1

  • 1Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, 63130, USA.

Scientific Reports
|September 5, 2018
PubMed
Summary
This summary is machine-generated.

New algorithms improve single-molecule localization microscopy (SMLM) by accurately analyzing high-density (HD) molecular blinking events. This enhances super-resolution imaging by minimizing structural biases and improving localization accuracy for biological structures.

More Related Videos

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.5K
Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.6K

Related Experiment Videos

Last Updated: Feb 5, 2026

Conventional BODIPY Conjugates for Live-Cell Super-Resolution Microscopy and Single-Molecule Tracking
07:49

Conventional BODIPY Conjugates for Live-Cell Super-Resolution Microscopy and Single-Molecule Tracking

Published on: June 8, 2020

8.8K
Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper
07:38

Open-source Single-particle Analysis for Super-resolution Microscopy with VirusMapper

Published on: April 9, 2017

10.5K
Test Samples for Optimizing STORM Super-Resolution Microscopy
16:52

Test Samples for Optimizing STORM Super-Resolution Microscopy

Published on: September 6, 2013

31.6K

Area of Science:

  • Biophysics
  • Microscopy
  • Computational Biology

Background:

  • Single-molecule localization microscopy (SMLM) relies on detecting individual molecular blinking events for super-resolution imaging.
  • Analyzing high-density (HD) datasets with overlapping signals is crucial for improving SMLM temporal resolution and accuracy.
  • Current HD algorithms use scalar metrics that do not capture the structural nature of localization errors.

Purpose of the Study:

  • To address the limitations of existing algorithms in handling structural biases in SMLM data.
  • To develop a novel algorithm that minimizes spatial localization errors for improved SMLM accuracy.
  • To investigate the impact of the point-spread function (PSF) shape on imaging artifacts.

Main Methods:

  • Development of a Robust Statistical Estimation (RoSE) algorithm.
  • RoSE estimates blinking event likelihood to improve molecule localization and reduce false positives.
  • Evaluation of RoSE using diverse 3D point-spread functions (PSFs) and biological structures.

Main Results:

  • Localization errors in SMLM are vectorial and introduce systematic structural biases, degrading resolution.
  • The microscope's PSF shape significantly influences the characteristics of imaging artifacts.
  • RoSE demonstrates unmatched accuracy in measuring distances between microtubules and quantifying vesicle morphology compared to state-of-the-art methods.

Conclusions:

  • RoSE effectively minimizes structural biases in SMLM, leading to more accurate super-resolution imaging.
  • The algorithm provides robust molecular localization across various structures and 3D PSFs.
  • This advancement is critical for precise quantitative analysis of nanoscale biological structures using SMLM.