Search research 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

Related Concept Videos

Three-Dimensional Microscopy in Microbiology

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

You might also read

Related Articles

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

Sort by

Same author

Regionalization of the atria for 3D electroanatomical mapping, cardiac imaging, and computational modelling: a clinical consensus statement of the European Heart Rhythm Association and the European Association of Cardiovascular Imaging of the ESC.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2025

Same author

Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2024

Same author

The right atrium affects in silico arrhythmia vulnerability in both atria.

Heart rhythm·2024

Same author

Differences in atrial substrate localization using late gadolinium enhancement-magnetic resonance imaging, electrogram voltage, and conduction velocity: a cohort study using a consistent anatomical reference frame in patients with persistent atrial fibrillation.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology·2023

Same author

Non-invasive localization of the ventricular excitation origin without patient-specific geometries using deep learning.

Artificial intelligence in medicine·2023

Same author

MedalCare-XL: 16,900 healthy and pathological synthetic 12 lead ECGs from electrophysiological simulations.

Scientific data·2023

Search research articles

Related Experiment Video

Updated: Jun 24, 2026

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

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

Published on: August 16, 2012

Image formation with a microlens-based optical detector: a three-dimensional mapping approach.

Daniel Unholtz¹, Wolfhard Semmler, Olaf Dössel

¹German Cancer Research Center, Division of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. d.unholtz@dkfz.de

|April 3, 2009

Summary

This summary is machine-generated.

This study introduces a novel ray-based optical detector for small-animal imaging, enabling 3D imaging in confined spaces. The system uses a microlens array and a focus parameter for clear image reconstruction, outperforming traditional methods.

More Related Videos

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Related Experiment Videos

Last Updated: Jun 24, 2026

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

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

Published on: August 16, 2012

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Compact Lens-less Digital Holographic Microscope for MEMS Inspection and Characterization

Published on: July 5, 2016

Three-dimensional Optical-resolution Photoacoustic Microscopy

Three-dimensional Optical-resolution Photoacoustic Microscopy

Published on: May 3, 2011

Area of Science:

Optics and Photonics
Biomedical Imaging
Microscopy

Background:

Traditional lens systems pose limitations in space-constrained imaging applications, particularly for small-animal studies.
Flat optical detectors with microlens arrays offer a potential solution for miniaturized imaging systems.
Accurate geometric mapping is crucial for reconstructing 3D data from 2D sensor information.

Purpose of the Study:

To present a ray-based approach for modeling a flat optical detector with a microlens array.
To enable planar and tomographic data acquisition for space-constrained small-animal imaging.
To develop and validate an inverse mapping algorithm for focusing arbitrary object surfaces.

Main Methods:

A ray-based formalism was developed to model the geometric mapping properties of the microlens array detector.
Forward mapping (3D object to 2D sensor) and backprojection (2D sensor data to 3D object) algorithms were implemented.
The object focus distance was identified as the key parameter for inverse mapping and image focusing.
The inverse mapping algorithm was tested using experimentally acquired data from a 3D phantom.

Main Results:

The developed approach successfully models the geometric mapping of the microlens array detector.
The inverse mapping algorithm allows arbitrary object surface areas to be focused by adjusting the object focus distance.
Experimental validation with a 3D phantom demonstrated the algorithm's capability in image reconstruction.
Comparison with focal point image formation indicated the effectiveness of the proposed method.

Conclusions:

The ray-based approach provides a viable method for designing flat optical detectors for small-animal imaging.
The developed inverse mapping algorithm enables precise focusing and reconstruction of 3D data in miniaturized imaging systems.
This technology has significant potential for advancing in-vivo small-animal research where space is limited.