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

You might also read

Related Articles

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

Sort by
Same author

Lattice-Directed Spin-Vibronic Coherence-Mediated Ultrafast Intersystem Crossing in Crystalline Diplatinum Complex.

Journal of the American Chemical Society·2026
Same author

Enhancing IR-MALDESI MSI Spatial Resolution Through Beam Constriction With a Ring-Actuated Iris.

Rapid communications in mass spectrometry : RCM·2026
Same author

High-Throughput N-Glycan Analysis by IR-MALDESI With a 1.5-kHz Pulsed Mid-IR Laser.

Journal of mass spectrometry : JMS·2026
Same author

Vibronic and Spin-Orbit Interplay Governs Ultrafast Spin Crossover in an Iron(II) Carbene Complex.

Chemphyschem : a European journal of chemical physics and physical chemistry·2026
Same author

Elucidating the Transition Kernel and Anharmonic Coupling in the Spin-crossover Process of a [Fe<sup>III</sup>(qsal)<sub>2</sub>] CH<sub>3</sub>OSO<sub>3</sub> Complex.

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

Adherence to the Healthy Low-Carbohydrate Diet and incident depression and anxiety.

Frontiers in public health·2026
Same journal

Cluster assisted soft-landing hub (CLASH): An instrument for surface desorption and deposition using a pulsed cluster ion source.

The Review of scientific instruments·2026
Same journal

Influence of pre-ionization parameters on multi-channel discharge characteristics of field-distortion switch gaps.

The Review of scientific instruments·2026
Same journal

A Joule-Thomson low-temperature scanning tunneling microscope with vector magnet and rotatable scanning head.

The Review of scientific instruments·2026
Same journal

Fiber-optic triggering of a two-stage high-current linear transformer driver with laser energy below 100 μJ.

The Review of scientific instruments·2026
Same journal

Optimization of laboratory-scale x-ray absorption spectroscopy (XAS) apparatus for nuclear fuel research.

The Review of scientific instruments·2026
Same journal

Compressed multi-scale entropy and its application in mechanical fault diagnosis.

The Review of scientific instruments·2026
See all related articles

Related Experiment Video

Updated: Apr 4, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K

Note: A simple image processing based fiducial auto-alignment method for sample registration.

Wesley D Robertson1, Lucas R Porto2, Candice J X Ip2

  • 1Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany.

The Review of Scientific Instruments
|September 3, 2015
PubMed
Summary
This summary is machine-generated.

This study presents a simple, robust software method for automatically locating and aligning sample fiducials using MATLAB/LabVIEW. This technique enhances experimental reproducibility and speeds up setup for various imaging applications.

More Related Videos

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.2K
Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.9K

Related Experiment Videos

Last Updated: Apr 4, 2026

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
07:13

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

Published on: October 27, 2023

1.8K
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
10:04

Sample Drift Correction Following 4D Confocal Time-lapse Imaging

Published on: April 12, 2014

17.2K
Analyzing Dendritic Morphology in Columns and Layers
08:41

Analyzing Dendritic Morphology in Columns and Layers

Published on: March 23, 2017

9.9K

Area of Science:

  • * Scientific imaging and microscopy
  • * Nanofabrication and materials science
  • * Software development for scientific instrumentation

Background:

  • * Accurate sample registration is crucial for reproducible scientific experiments.
  • * Manual alignment of sample fiducials can be time-consuming and prone to error.
  • * Existing methods may lack versatility across different experimental setups.

Purpose of the Study:

  • * To develop a simple, automated method for locating and aligning sample fiducials.
  • * To improve the speed and reproducibility of sample registration in various imaging experiments.
  • * To create a versatile software solution compatible with common imaging systems.

Main Methods:

  • * Utilization of widely available MATLAB/LabVIEW software for image processing.
  • * Automated detection and measurement of circular fiducials for self-calibration.
  • * Iterative alignment algorithms for precise sample positioning.
  • * Application with a nanofabricated fiducial array for demonstration.

Main Results:

  • * Demonstrated a fast and reliable method for fiducial location and auto-alignment.
  • * Achieved alignment accuracy within the optical resolution of the imaging system.
  • * Successfully registered, loaded, and sampled a dynamically wetted array.
  • * The method proved robust and easily implemented across different experiment types.

Conclusions:

  • * The developed software provides a simple, robust, and efficient solution for sample fiducial alignment.
  • * This method significantly improves experimental reproducibility and setup speed.
  • * Applicable to a wide range of imaging experiments, enhancing scientific workflows.