Search research articles

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

AI-driven digital holographic microscopy for label-free quantitative cellular analysis: toward low-cost and field-deployable platforms.

Biomedical optics express·2026

Same author

Morphological investigation of astrocyte brain cells using quantitative phase imaging.

Biomedical optics express·2026

Same author

Efficacy of Alloplast and Xenograft in Sinus Lift Augmentation with Concurrent Dental Implantation - A Comparative Study.

Indian journal of dental research : official publication of Indian Society for Dental Research·2026

Same author

Security authentication and tracking of unmanned moving vehicles with optical ID tags.

Optics express·2026

Same author

3D profilometric object detection in turbid water using integral imaging and deep neural networks.

Optics express·2026

Same author

Underwater multidimensional metrology in degraded environments with augmented reality devices.

Optics express·2026

Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026

Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026

Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026

Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026

Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026

Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026

See all related articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: Mar 17, 2026

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Cell identification using single beam lensless imaging with pseudo-random phase encoding.

Bahram Javidi, Siddharth Rawat, Satoru Komatsu

|July 30, 2016

Summary

This summary is machine-generated.

This study introduces a new, cost-effective optical system for automated cell identification. It captures unique biological signatures without a microscope, enabling efficient micro-organism classification.

More Related Videos

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Related Experiment Videos

Last Updated: Mar 17, 2026

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Shaping the Amplitude and Phase of Laser Beams by Using a Phase-only Spatial Light Modulator

Published on: January 28, 2019

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules

Published on: September 5, 2019

Area of Science:

Optics
Biotechnology
Microscopy

Background:

Automated cell identification is crucial in various scientific fields.
Traditional methods often rely on complex and expensive microscopy setups.
There is a need for compact, cost-effective cell analysis tools.

Purpose of the Study:

To propose and demonstrate a novel compact optical system for automated cell identification.
To capture unique opto-biological signatures of micro-organisms without a microscope objective lens.
To enable cost-effective and compact cell analysis.

Main Methods:

Utilizing pseudo-random encoding of light modulated by cells.
Employing an image sensor to capture opto-biological signatures.
Extracting statistical features (mean, variance, entropy, etc.) from signatures.
Classifying cells using a random forest classifier.

Main Results:

Successfully identified and classified various micro-objects using the proposed system.
Demonstrated proof of concept for the novel automated cell identification approach.
The captured signatures correlate with micro-object morphology, size, and composition.

Conclusions:

The developed compact optical system offers a novel and effective method for automated cell identification.
The system's design is compact and cost-effective, making it broadly applicable.
This approach represents a significant advancement in label-free cell analysis.