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

Flow Cytometry01:23

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
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

Bioimage analysis in deep visual proteomics: Advancing transparency, reproducibility, and FAIR principles.

Journal of microscopy·2026
Same author

Uncertainty-aware quantitative analysis of high-throughput live cell migration data.

PLoS computational biology·2026
Same author

Depth of neutrophil mobilization stratifies survival in ST-elevation myocardial infarction.

Nature cardiovascular research·2026
Same author

An Edge-Cloud Collaborative ECG-Assisted Diagnostic System Leveraging Cross-Lead Knowledge Distillation and Large Language Models.

Sensors (Basel, Switzerland)·2026
Same author

CD177 Deficiency Defines a Stable Subtype of Human Neutrophil Granulocytes with Tumor Promoting Activity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Search, organize, aggregate and share image data with BioFile Finder (BFF).

Nature methods·2026

Related Experiment Video

Updated: Jul 13, 2026

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

FlowRoI: fast optical-flow-based Roi extraction for high-throughput immune cell image compression.

Xiaowei Xu1,2, Justin Sonneck1,3, Hongxiao Wang1,4

  • 1Leibniz-Institut für Analytische Wissenschaften- ISAS- e.V., Dortmund, Germany.

Npj Imaging
|July 11, 2026
PubMed
Summary

FlowRoI is a new framework for efficient compression of immune cell migration videos. It achieves higher compression rates and better image quality for cell regions, aiding research storage and transmission challenges.

More Related Videos

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Related Experiment Videos

Last Updated: Jul 13, 2026

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

Area of Science:

  • Biomedical Imaging
  • Computational Biology
  • Cellular Dynamics

Background:

  • Autonomous cell migration, particularly neutrophils, is crucial in biology and disease.
  • High-throughput live-cell imaging generates massive datasets, posing storage and transmission challenges.
  • Existing methods lack efficient, cell-focused compression strategies for migration studies.

Purpose of the Study:

  • Introduce FlowRoI, a novel framework for region-of-interest (RoI) extraction and compression.
  • Address the data scale challenges in live-cell immune cell migration imaging.
  • Develop a computationally efficient and domain-oriented compression solution.

Main Methods:

  • FlowRoI utilizes optical flow to identify and mask migrating cells (RoIs) in consecutive frames.
  • Joint encoding of frames and RoI masks using JPEG2000 for cell-focused compression.
  • Framework is training-free and computationally lightweight, operating at ~30 fps.

Main Results:

  • FlowRoI achieves ~2x higher compression rates than standard JPEG2000 at matched PSNR.
  • Preserves superior image quality in cellular regions compared to standard JPEG2000.
  • Demonstrates ~2x higher compression efficiency for cell instance segmentation tasks.

Conclusions:

  • FlowRoI offers a computationally efficient, domain-specific solution for compressing bright-field neutrophil migration data.
  • The framework facilitates practical parameter selection with stable performance.
  • Potential applicability to other cell types and imaging modalities warrants further investigation.