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

X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...

You might also read

Related Articles

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

Sort by
Same author

Exploration of the Clinical Assessment and Prognostic Value of Society for Cardiovascular Angiography and Intervention Shock Staging in Patients With Acute Myocardial Infarction and Cardiogenic Shock on Veno-arterial Extracorporeal Membrane Oxygenation Support.

Reviews in cardiovascular medicine·2026
Same author

Selective Inhibition of Glioma Cells In Vivo via Low Intensity Ultrasound.

Ultrasound in medicine & biology·2026
Same author

Microwave ablation for T1N0M0 papillary thyroid carcinoma located in the isthmus: a multicenter prospective cohort study with over 5-year follow-up.

Therapeutic advances in medical oncology·2026
Same author

Risk Factors, Pathogen Distribution, and Treatment Strategies for Mortality in Elderly Patients with Pulmonary Bacterial Infections.

Clinical interventions in aging·2026
Same author

Selective targeting of endothelial and perivascular angiocrine ROCK2 treats liver fibrosis.

Cell·2026
Same author

Seasonal Shifts in Water Utilization Strategies of Typical Desert Plants in a Desert Oasis Revealed by Hydrogen and Oxygen Stable Isotopes and Leaf δ<sup>13</sup>C.

Plants (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jun 1, 2026

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

Application of sampling criterion on numerical diffraction from bacterial colonies.

Euiwon Bae1, Nan Bai, E Daniel Hirleman

  • 1School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA. ebae@purdue.edu

Applied Optics
|May 27, 2011
PubMed
Summary

This study explores numerical diffraction from bacterial colonies, establishing sampling criteria for spatial and frequency domains. Findings reveal conditions for accurate diffraction pattern estimation using scalar diffraction modeling and Fresnel approximation.

More Related Videos

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
12:55

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

Related Experiment Videos

Last Updated: Jun 1, 2026

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)
07:27

Quantifying Microorganisms at Low Concentrations Using Digital Holographic Microscopy (DHM)

Published on: November 1, 2017

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome
12:55

Fast Colony Forming Unit Counting in 96-Well Plate Format Applied to the Drosophila Microbiome

Published on: January 13, 2023

Area of Science:

  • Microbiology
  • Optics
  • Computational Science

Background:

  • Bacterial colonies exhibit complex morphology influencing optical phenomena like diffraction.
  • Understanding diffraction patterns is crucial for imaging and analyzing microbial structures.

Purpose of the Study:

  • To investigate numerical diffraction from bacterial colonies.
  • To apply sampling criteria in spatial and frequency domains for accurate modeling.
  • To compare Fresnel approximation with the angular spectrum method.

Main Methods:

  • Scalar diffraction modeling based on colony morphology.
  • Estimation of maximum diffraction angle to define imaging and aperture domains.
  • Analysis of chirp and Gaussian phase functions for phase modulation.
  • Investigation of optimal sampling intervals and effects of violations.
  • Comparison of Fresnel approximation and angular spectrum method.

Main Results:

  • Morphology-dependent diffraction angles were estimated.
  • Optimal sampling intervals for chirp and Gaussian phase functions were determined.
  • The Fresnel approximation was found valid for large distances and longer wavelengths.

Conclusions:

  • Numerical diffraction analysis requires adherence to spatial and frequency sampling criteria.
  • Scalar diffraction modeling accurately predicts patterns, with phase functions influencing modulation.
  • Fresnel approximation offers a valid and applicable method for specific diffraction scenarios.