Digital Image Scanning
Digital Image Scanning - Related Videos
07:19
Clock Scan Protocol for Image Analysis: ImageJ Plugins
0 Views •
Cited by 16 •
2017
This paper describes two novel ImageJ plugins for 'Clock Scan' image analysis. These plugins expand the functionality of the original visual basic 6 program and, most importantly, make the program available to a large research community by bundling it with the ImageJ free image analysis software package.
08:01
Rapid Scan Electron Paramagnetic Resonance Opens New Avenues for Imaging Physiologically Important Parameters In Vivo
0 Views •
Cited by 11 •
2016
A new electron paramagnetic resonance (EPR) method, rapid scan EPR (RS-EPR), is demonstrated for 2D spectral spatial imaging which is superior to the traditional continuous wave (CW) technique and opens new venues for in vivo imaging. Results are demonstrated at 250 MHz, but the technique is applicable at any frequency.
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
0 Views •
Cited by 9 •
2013
This video describes the fundamentals of digital fringe projection techniques, which provide dense 3D measurements of dynamically changing surfaces. It also demonstrates the design and operation of a high-speed binary defocusing system based on these techniques.
03:25
Imaging of Neuronal Mitochondria Using a Serial Block-Face Scanning Electron Microscope
0 Views •
2025
Source: Mukherjee, K., et. al. Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy. J. Vis. Exp. (2016)This video demonstrates the preparation, imaging, and analysis of mouse brain tissue using a serial block-face scanning electron microscope (SBFSEM) to visualize mitochondrial ultrastructure, enabling precise mapping of their morphology and spatial distribution in axonal and dendritic neuronal compartments.
08:45
Shrinkage of Dental Composite in Simulated Cavity Measured with Digital Image Correlation
0 Views •
Cited by 12 •
2014
In order to understand the spatial development of polymerization shrinkage stress in dental resin-composite restorations, Digital Image Correlation was used to provide full-field displacement/strain measurement of restored model glass cavities by correlating images of the restoration taken before and after polymerization.
FAQs
Resolution establishes the spatial detail represented in a digital image, while contrast governs how differences in recorded values appear. Together, these settings shape the computer-readable record used for observation and measurement. In biological imaging, documenting the chosen resolution and contrast helps keep image-processing and comparisons consistent when examining cells, tissues, microscope fields, or experimental records.
A scanner or digital camera samples light from the specimen and assigns intensity and color values to pixels. Software then reconstructs those values into an image that can be viewed and analyzed. This sequence matters because the final file is not merely a visual copy: its pixel values provide the basis for applying consistent processing and quantifying visible biological features.
Digital image scanning adds a reusable digital record to the original biological material or visual record. The stored image can support repeated observation, consistent image-processing methods, quantitative analysis, and sharing with collaborators. This makes it useful when researchers need to revisit microscope fields, histological material, gel results, or other observations without relying only on the original viewing session.
Scanning begins by presenting a biological specimen, microscope field, or visual record to a scanner or digital camera. The device samples light, assigns intensity and color values to pixels, and software reconstructs the image at a defined resolution and contrast. The resulting file can then be preserved, observed, processed consistently, and used for measurement or analysis.
Within biology, digital image scanning supports microscopy, histology, gel documentation, and examination of cell structure, tissue organization, and experimental results. These applications use the digital record for different scientific purposes: documenting what was observed, preserving material for later review, and enabling image processing or measurement. The method therefore spans structural observation and evaluation of experimental data.
Researchers can use the resulting files to quantify visible features, apply consistent image-processing methods, preserve samples as digital records, and share data for collaboration or further study. These outcomes support observation and measurement after image acquisition and allow biological evidence to be revisited. In this way, scanning connects visual records with analysis, documentation, and collaborative research.