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

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by
Same author

Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes.

Scientific reports·2015
Same author

Aberrant Functional Connectivity Architecture in Alzheimer's Disease and Mild Cognitive Impairment: A Whole-Brain, Data-Driven Analysis.

BioMed research international·2015
Same author

Alternative NF-κB Isoforms in the Drosophila Neuromuscular Junction and Brain.

PloS one·2015
Same author

Grape seed proanthocyanidin protects liver against ischemia/reperfusion injury by attenuating endoplasmic reticulum stress.

World journal of gastroenterology·2015
Same author

Serum Levels of Progranulin Are Closely Associated with Microvascular Complication in Type 2 Diabetes.

Disease markers·2015
Same author

Repression of microRNA biogenesis by silencing of OsDCL1 activates the basal resistance to Magnaporthe oryzae in rice.

Plant science : an international journal of experimental plant biology·2015
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets
08:20

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets

Published on: February 22, 2016

A Coarse-to-Fine Framework for Oil-Water Interface Measurement in Small-Caliber Transparent Test Tubes.

Bo Zhou1, Yang Zhou2, Jigang Zou1

  • 1State Key Laboratory of Continental Shale Oil, Exploration, Development Research Institute of Daqing Oilfield, Daqing 163712, China.

Sensors (Basel, Switzerland)
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a robust coarse-to-fine framework for accurate oil-water interface measurement in laboratory analysis. The method enhances volume readout stability by overcoming challenges like illumination variation, stains, and bubbles.

Keywords:
coarse-to-fine frameworkliquid-surface measurementmachine visionoil–water interface

More Related Videos

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

Related Experiment Videos

Last Updated: Jun 13, 2026

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets
08:20

Capillary-based Centrifugal Microfluidic Device for Size-controllable Formation of Monodisperse Microdroplets

Published on: February 22, 2016

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor
07:28

Terahertz Microfluidic Sensing Using a Parallel-plate Waveguide Sensor

Published on: August 30, 2012

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces
08:05

Microtensiometer for Confocal Microscopy Visualization of Dynamic Interfaces

Published on: September 9, 2022

Area of Science:

  • Analytical Chemistry
  • Image Processing
  • Machine Learning

Background:

  • Accurate oil-water interface measurement is crucial for laboratory volume readout.
  • Conventional methods struggle with illumination variations, stains, and bubbles, impacting accuracy.
  • Deep learning detectors alone offer limited precision for interface localization.

Purpose of the Study:

  • To develop a robust coarse-to-fine framework for precise oil-water interface measurement.
  • To improve volume readout accuracy in laboratory analysis under challenging conditions.
  • To enhance the stability and reliability of interface detection against common interferences.

Main Methods:

  • A coarse-to-fine framework utilizing YOLOv8n for semantic constraints.
  • Construction of a Fisher-discriminative chromatic-weighted brightness feature from RGB data.
  • Fusion of chromatic features with SobelY-based vertical-gradient features.
  • Implementation of a stain-aware row-aggregation strategy with pixel compensation.
  • Correction for bubble-induced bias in volume readout.

Main Results:

  • The framework demonstrated improved readout stability under stains, bubbles, and varying illumination.
  • Achieved a mean absolute error of 0.0159 mL for volume readout.
  • Maintained maximum error below 0.03 mL in experimental setups.
  • Validated on shale-oil core pressing process data under mixed lighting.

Conclusions:

  • The proposed coarse-to-fine framework offers robust and accurate oil-water interface measurement.
  • The method effectively mitigates interference from common artifacts, enhancing laboratory analysis reliability.
  • This approach provides a significant improvement over conventional and purely deep learning-based methods for interface detection.