High Performance Microscopy
High Performance Microscopy - Related Videos
07:22
Using a Laminating Technique to Perform Confocal Microscopy of the Human Sclera
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Cited by 1 •
2016
Human sclera tissue is mainly collagen; therefore, it is not easily usable for immunohistochemistry. To achieve the goal of performing immunohistochemistry for confocal microscopy of scleral tissue, a laminating technique was used.
13:58
Probing C84-embedded Si Substrate Using Scanning Probe Microscopy and Molecular Dynamics
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Cited by 1 •
2016
This paper reports the nanomaterial fabrication of a fullerene Si substrate inspected and verified by nanomeasurements and molecular dynamic simulation.
07:32
An Intravital Microscopy-Based Approach to Assess Intestinal Permeability and Epithelial Cell Shedding Performance
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Cited by 1 •
2020
Taking advantage of intravital microscopy, the method presented here enables real-time visualization of intestinal epithelial cell shedding in living animals. Therefore, topically stained intestinal mucosa (acriflavine and rhodamineB-dextran) of anesthetized mice is imaged up to single-cell resolution using confocal microscopy.
05:52
Drosophila Embryo Preparation and Microinjection for Live Cell Microscopy Performed using an Automated High Content Analyzer
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Cited by 2 •
2021
Presented here is a protocol to microinject and simultaneously image multiple Drosophila embryos during embryonic development using a plate-based, high content imager.
11:16
Correlative Light- and Electron Microscopy Using Quantum Dot Nanoparticles
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Cited by 12 •
2016
A method is described whereby quantum dot (QD) nanoparticles can be used for correlative immunocytochemical studies of epoxy embedded human pathology tissue. We employ commercial antibody fragment conjugated QDs that are visualized by widefield fluorescence light microscopy and transmission electron microscopy.
FAQs
Illumination supplies controlled excitation, detectors collect the resulting optical signal, and computational methods convert those measurements into interpretable images or quantitative data. Their performance is interdependent: optimized illumination can improve signal quality, sensitive detection can reveal weaker features, and analysis can extract information from complex image sets. Together, these components support measurements of structures and events that conventional imaging may not resolve.
Spatial resolution determines how finely biological structures can be distinguished, whereas temporal resolution determines how closely successive changes can be followed. A system designed for dynamic biology must select imaging conditions that capture meaningful time-dependent behavior while preserving useful structural detail. This balance is important when studying molecular interactions, cell organization, or other processes whose interpretation depends on both location and timing.
Precise sample control helps maintain the imaging conditions needed for consistent observation of biological specimens. It supports controlled acquisition during measurements of changing cells, tissues, or molecular events and can help reduce imaging artifacts that obscure interpretation. By stabilizing the sample during image collection, researchers can more reliably compare structures or follow changes across time-dependent experiments.
A typical experiment establishes the biological sample, selects suitable illumination and detection conditions, controls the sample during acquisition, and records images over the required spatial or temporal range. Computational analysis then extracts quantitative information from the collected data. The sequence connects experimental design with interpretation, helping researchers capture the biological feature of interest while limiting photodamage and other imaging artifacts.
Quantitative image analysis transforms image observations into measurements that can be compared across cells, structures, time points, or experimental conditions. Depending on the biological question, the resulting data can describe organization, molecular interactions, tissue architecture, or changes over time. This approach extends microscopy beyond visual inspection and helps evaluate mechanisms, developmental behavior, disease-related changes, or responses relevant to drug research.
It is particularly valuable when conventional imaging cannot adequately reveal dynamic events, fine organization, or interactions within biological samples. Applications described for this approach include cell biology, developmental studies, disease research, tissue analysis, and drug evaluation. Its combination of advanced acquisition and quantitative interpretation allows researchers to connect observed structures with biological mechanisms and time-dependent changes.