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

Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

9.4K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
9.4K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

16.0K
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,...
16.0K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.3K
Overview of Microscopy Techniques01:22

Overview of Microscopy Techniques

10.7K
The early pioneers of microscopy opened a window into the invisible world of microorganisms. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes that leveraged nonvisible light, such as fluorescence microscopy that uses an ultraviolet light source and electron microscopy that uses short-wavelength electron beams. These advances significantly improved magnification, image resolution, and contrast. By comparison, the...
10.7K
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

1.8K
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
1.8K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

907
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...
907

You might also read

Related Articles

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

Sort by
Same author

A Simple and Sensitive LC-MS/MS Method for Simultaneous Quantification of Dasatinib and Erythromycin in Mice Plasma: Application to Preclinical Pharmacokinetic Study.

Biomedical chromatography : BMC·2026
Same author

Impact of boron supplementation on bone health, antioxidant, and immune status in heifers.

Tropical animal health and production·2026
Same author

Passive Blood-Plasma Separation via Constriction-Expansion Geometry in Untreated Paper Microfluidic Devices.

Journal of separation science·2026
Same author

Marginal adaptation of zirconium dioxide crowns prepared with four different finish lines: An <i>in vitro</i> study.

Bioinformation·2026
Same author

Patterns, Severity, and Outcomes of Solid Organ Injuries in Abdominal Trauma: A Prospective Observational Study.

Cureus·2026
Same author

Nitric oxide can enhance secondary aerosol precursor formation from aromatic carbonyls.

Nature communications·2026

Related Experiment Video

Updated: May 2, 2026

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
14:21

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation

Published on: January 22, 2013

14.6K

Depth-Resolved Poroscopy: A Swept-Source Optical Coherence Tomography Approach to Automated Fingerprint Microfeature

Avinash Kumar1, Raju Poddar1

  • 1Biophotonics Lab, Department of Bioengineering, Birla Institute of Technology-Mesra, Ranchi, Jharkhand, India.

Journal of Biophotonics
|October 30, 2025
PubMed
Summary
This summary is machine-generated.

A novel Swept-Source Optical Coherence Tomography (SS-OCT) system enables automated fingerprint poroscopy identification. This depth-resolved imaging method reveals significant differences in pore count between males and females, enhancing biometric security.

Keywords:
fingerprintforensicmicrofeaturesoptical coherence tomographyporoscopy

More Related Videos

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

2.0K
Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

7.3K

Related Experiment Videos

Last Updated: May 2, 2026

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
14:21

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation

Published on: January 22, 2013

14.6K
Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
07:51

Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts

Published on: October 21, 2022

2.0K
Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales
09:56

Automated 3D Optical Coherence Tomography to Elucidate Biofilm Morphogenesis Over Large Spatial Scales

Published on: August 21, 2019

7.3K

Area of Science:

  • Biometrics and Forensic Science
  • Optical Engineering
  • Medical Imaging

Background:

  • Fingerprint analysis traditionally relies on ridge patterns, overlooking valuable Level 3 features like sweat pores.
  • Automated identification systems require advanced imaging techniques for precise feature extraction.

Purpose of the Study:

  • To develop and validate a depth-resolved Swept-Source Optical Coherence Tomography (SS-OCT) system for automated sweat pore network identification in fingerprint biometrics.
  • To investigate the influence of pore morphology and gender on biometric identification using SS-OCT.

Main Methods:

  • A 100 kHz SS-OCT system with a 1060 nm laser was utilized, achieving ~4.5 μm axial and 13 μm lateral resolution.
  • High-density volumetric imaging (3x3 mm region) captured sweat pore microfeatures, followed by automated analysis using an ImageJ pipeline.
  • A study involving 40 healthy volunteers (20 males, 20 females) was conducted to assess pore morphology and count.

Main Results:

  • The SS-OCT system precisely localized Level 3 sweat-pore microfeatures with sub-pixel accuracy.
  • Pore shape accounted for 60.10% of the total variance in the dataset (p < 0.0001).
  • Males exhibited a significantly higher average pore count (20.53 ± 2.14) compared to females (14.00 ± 1.76, p < 0.0001), with gender contributing 14.62% of the variance (p < 0.0001).

Conclusions:

  • SS-OCT provides a robust, depth-resolved method for automated poroscopy network identification, offering a valuable alternative for biometric and forensic applications.
  • The findings highlight the potential of sweat pore analysis, particularly pore count differences between genders, for enhancing fingerprint identification accuracy.
  • This technology advances biometric security by enabling detailed analysis of Level 3 fingerprint features.