Fluorescence Microscopy Modification
Fluorescence Microscopy Modification - Related Videos
09:22
Introduction to Fluorescence Microscopy
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2023
Fluorescence microscopy is a very powerful analytical tool that combines the magnifying properties of light microscopy with visualization of fluorescence. Fluorescence is a phenomenon that involves absorbance and emission of a small range of light wavelengths by a fluorescent molecule known as a fluorophore. Fluorescence microscopy is accomplished in conjunction with the basic light microscope by the addition of a powerful light source, specialized filters, and a means of fluorescently...
11:23
Lensless Fluorescent Microscopy on a Chip
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Cited by 8 •
2011
A lensless on-chip fluorescent microscopy platform is demonstrated that can image fluorescent objects over an ultra-wide field-of-view of e.g., >0.6-8 cm2 with <4μm resolution using a compressive sampling based decoding algorithm. Such a compact and wide-field fluorescent on-chip imaging modality could be valuable for high-throughput cytometry, rare-cell research and microarray-analysis.
09:02
Visualizing Bacteria in Nematodes using Fluorescent Microscopy
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Cited by 20 •
2012
To study the mutualism between Xenorhabdus bacteria and Steinernema nematodes, methods were developed to monitor bacterial presence and location within nematodes. The experimental approach, which can be applied to other systems, entails engineering bacteria to express the green fluorescent protein and visualizing, using fluorescence microscopy bacteria within the transparent nematode.
08:27
Visualizing Stromule Frequency with Fluorescence Microscopy
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Cited by 5 •
2016
Protocols to investigate the dynamics of chloroplast stromules, the stroma-filled tubules that extend from the surface of chloroplasts, are described.
14:39
Measuring Phagosome pH by Ratiometric Fluorescence Microscopy
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Cited by 26 •
2015
Phagosomal pH influences phagosome maturation, oxidant production, phagosomal killing as well as antigen presentation. Here we describe a ratiometric method for measuring time-course and endpoint pH changes in individual phagosomes in living phagocytes using fluorescence microscopy.
FAQs
Excitation light determines how fluorophores are illuminated, while emission filters control which emitted wavelengths reach the detector. Adjusting these elements can improve contrast and specificity by better separating labeled structures from unwanted signal. The appropriate configuration depends on the fluorophores and biological features being examined, especially when multiple labeled structures must be distinguished.
Optical components shape how light travels through the imaging system, and detectors convert the resulting fluorescence into measurable image data. Modifying either part can align the system with a desired balance of spatial resolution, signal detection, and temporal information. This flexibility is important when imaging requirements differ between cells, biomaterials, and engineered tissues.
Image-processing modifications can refine how fluorescence signals are analyzed after acquisition. They may help extract stronger contrast, distinguish labeled structures, or support quantitative measurements of biological behavior. Because processing affects the interpretation of image data, the selected approach should match the experimental objective, such as measuring cell behavior, tracking dynamic processes, or assessing molecular interactions.
The main factors are the required contrast, specificity, spatial resolution, and temporal information. A modification that improves one property may be selected because that property is most important for the experiment, while another design may prioritize observing changes over time. Defining the measurement goal first helps researchers choose relevant optical, detection, or analytical adjustments.
Begin by identifying the labeled structures and the information the experiment must capture. Then determine whether excitation light, emission filters, optical components, detectors, or image processing require adjustment. After implementing the selected changes, evaluate whether the images provide the needed contrast, specificity, resolution, or time-dependent information under the intended controlled conditions.
The approach is useful when standard imaging performance does not match a bioengineering experiment. Researchers can tailor imaging for cells, biomaterials, engineered tissues, or molecular interactions, depending on the required measurement. These adaptations can support quantitative assessment of cell behavior and visualization of dynamic biological processes while keeping imaging conditions aligned with specialized experimental requirements.