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

Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

You might also read

Related Articles

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

Sort by
Same author

Automated HER2 Scoring with Uncertainty Quantification Using Lensfree Holography and Deep Learning.

BME frontiers·2026
Same author

Snapshot 3D image projection using a diffractive decoder.

Light, science & applications·2026
Same author

Autonomous Uncertainty Quantification for Computational Point-of-Care Sensors.

ACS nano·2026
Same author

Universal and transferable attacks on pathology foundation models using microscopic perturbations.

Light, science & applications·2026
Same author

Super-resolution image projection over an extended depth of field using a diffractive decoder.

Light, science & applications·2026
Same author

Deep learning-enhanced dual-mode multiplexed optical sensor for point-of-care diagnostics of cardiovascular diseases.

Light, science & applications·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Jun 26, 2026

Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
08:19

Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics

Published on: December 14, 2009

Multi-angle LUCAS for high-throughput on-chip cytometry.

Ting-Wei Su1, Sungkyu Seo, Anthony Erlinger

  • 1Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA. justinsu@ucla.edu

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

High-throughput cell characterization is achieved using multi-angle LUCAS. This method enables cost-effective, on-chip analysis of large sample volumes for point-of-care applications.

More Related Videos

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
11:39

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry

Published on: July 21, 2017

Related Experiment Videos

Last Updated: Jun 26, 2026

Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics
08:19

Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics

Published on: December 14, 2009

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
08:41

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
11:39

Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry

Published on: July 21, 2017

Area of Science:

  • Biophotonics
  • Cellular analysis
  • Microfluidics

Background:

  • Accurate cell counting and characterization are crucial for diagnostics.
  • Existing methods often face limitations in throughput and sample volume.
  • On-chip solutions offer potential for miniaturization and cost reduction.

Purpose of the Study:

  • To develop a high-throughput, on-chip platform for characterizing heterogeneous cell solutions.
  • To demonstrate the capability of analyzing large sample volumes (5 ml).
  • To establish a cost-effective solution for point-of-care cell counting.

Main Methods:

  • Utilizing under-sampled diffraction patterns recorded at multiple illumination angles.
  • Implementing an on-chip platform termed multi-angle LUCAS.
  • Characterizing a heterogeneous cell solution.

Main Results:

  • Achieved high-throughput on-chip characterization of cells.
  • Successfully analyzed an ultra-large volume of approximately 5 ml.
  • Demonstrated the feasibility of the multi-angle LUCAS platform.

Conclusions:

  • The multi-angle LUCAS platform enables efficient, large-volume cell analysis.
  • This technology holds significant promise for cost-effective point-of-care cell counting.
  • The method offers a novel approach for rapid cellular characterization.