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

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences01:20

Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences

425
Inductively coupled plasma–mass spectrometry (ICP–MS) is a highly selective and sensitive technique for accurate elemental analysis. Though the analysis of ICP–MS mass spectra is comparatively straightforward, it is affected by spectroscopic and non-spectroscopic interferences. Spectroscopic interferences arise when the plasma contains ionic species with an m/z value the same as the analyte ion. Spectroscopic interference can be categorized as isobaric, polyatomic ions, and...
425

You might also read

Related Articles

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

Sort by
Same author

Effect of vitamin C and hesperidin on serum uric acid concentrations in healthy adults with high uric acid levels: the randomized controlled 'HesperidrinC trial'.

European journal of nutrition·2026
Same author

A 3-Week Inpatient Rehabilitation Programme Improves Body Composition in People with Cystic Fibrosis with and Without Elexacaftor/Tezacaftor/Ivacaftor Therapy.

Nutrients·2025
Same author

Understanding late medieval farming practices: an interdisciplinary study on byre remains from the historical centre of Brussels (Belgium).

Archaeological and anthropological sciences·2025
Same author

The impact of human dispersals and local interactions on the genetic diversity of coastal Papua New Guinea over the past 2,500 years.

Nature ecology & evolution·2025
Same author

Overcoming Shifting Baselines: Paleo-Behaviour Reveals Industrial Revolution as Tipping Point.

Global change biology·2025
Same author

Multiple Contrast Tests in the Presence of Partial Heteroskedasticity.

Biometrical journal. Biometrische Zeitschrift·2025
Same journal

Histopathology of Rhizoctonia root and crown rot of sugar beet reveals differential responses in susceptible and resistant cultivars to invasion by Rhizoctonia solani AG 2-2.

Annals of botany·2026
Same journal

Generalized pollination maintains disassortative pollen transfer in a distylous tropical shrub.

Annals of botany·2026
Same journal

A global three-dimensional leaf functional space reveals partial decoupling between carbon investment and water regulation.

Annals of botany·2026
Same journal

Molecular Intricacies of Modulating Seed Dormancy through CRISPR/Cas9 Technology.

Annals of botany·2026
Same journal

Crown roots dominate nitrate uptake in maize (Zea mays L.) under varying soil moisture conditions.

Annals of botany·2026
Same journal

Shaped by Mountains, Driven by Climate: The Rise of the Neotropical Carex sect. Fecundae.

Annals of botany·2026
See all related articles

Related Experiment Video

Updated: Jun 19, 2025

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

2.9K

Inter- and intra-observer variation in phytolith morphometry.

Welmoed A Out1, Rand Evett2, Kristýna Hošková3

  • 1Department of Archaeological Science and Conservation, Moesgaard Museum, 8270, Højbjerg, Denmark.

Annals of Botany
|July 26, 2024
PubMed
Summary
This summary is machine-generated.

Observer variation in phytolith morphometrics can lead to misidentification. Standardized training and guidelines are recommended to improve accuracy and consistency in archaeological phytolith analysis.

Keywords:
Geometric morphometryImageJarchaeobotanybotanical microremainsmethodologyphytolith analysistaxonomic identification

More Related Videos

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

67.4K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

3.6K

Related Experiment Videos

Last Updated: Jun 19, 2025

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
08:52

Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness

Published on: March 18, 2022

2.9K
Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ
08:44

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

67.4K
Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities
10:14

Author Spotlight: Leaf Trait Analysis for Climate and Ecology Reconstruction in Modern and Ancient Plant Communities

Published on: October 25, 2024

3.6K

Area of Science:

  • Archaeobotany
  • Palaeoecology
  • Geometric Morphometrics

Background:

  • Geometric morphometrics is crucial for identifying plant opal phytoliths in archaeobotany and palaeoecology.
  • Morphometric data from archaeological phytoliths aids taxonomic attribution when compared to reference material.
  • Observer variation in phytolith morphometrics is an understudied source of error and potential misidentification.

Purpose of the Study:

  • To investigate inter- and intra-observer variation in phytolith morphometrics.
  • To identify factors contributing to variation in phytolith measurements.
  • To provide recommendations for minimizing observer error in phytolith analysis.

Main Methods:

  • Eight researchers measured three phytolith morphotypes (Bilobate, Bulliform flabellate, Elongate dendritic) from 50 samples each, three times.
  • Measurements involved digitizing phytolith outlines from photographs and analyzing them with open-source morphometric software.
  • Data collected included 17 size and shape variables for each phytolith.

Main Results:

  • Inter-observer variation ranged from 0% to 23% difference from the mean.
  • Intra-observer variation ranged from 0% to 9% difference from the mean.
  • Variation was generally higher among inexperienced researchers, with scaling errors being a major cause.

Conclusions:

  • Inter- and intra-observer variation can be significantly reduced through standardized instructions and training.
  • The International Committee for Phytolith Morphometrics (ICPM) provides recommendations to minimize variation.
  • Standardized guidelines are essential for accurate, consistent, and comparable phytolith morphometric analyses until automatic data collection is widespread.