Photon Flux Quantification
Photon Flux Quantification - Related Videos
10:04
Quantification of Cerebral Vascular Architecture using Two-photon Microscopy in a Mouse Model of HIV-induced Neuroinflammation
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Cited by 4 •
2016
This paper describes a method by which the vascular architecture in the brain can be quantified using in vivo and ex vivo two-photon microscopy.
14:26
In vivo Quantification of G Protein Coupled Receptor Interactions using Spectrally Resolved Two-photon Microscopy
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Cited by 6 •
2011
By employing a spectrally resolved two-photon microscopy imaging system, pixel-level maps of Förster Resonance Energy Transfer (FRET) efficiencies are obtained for cells expressing membrane receptors hypothesized to form homo-oligomeric complexes. From the FRET efficiency maps, we are able to estimate stoichiometric information about the oligomer complex under study.
09:05
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
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2019
The presented protocol uses the eddy covariance method at non-typical locations, applicable to all types of short-canopy ecosystems with limited area, on a currently reforested windthrow site in Poland. Details of measuring site setup rules, flux calculations and quality control, and final result analysis, are described.
01:15
Electric Flux
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2025
The concept of flux describes how much of something goes through a given area. More formally, it is the dot product of a vector field within an area. For a better understanding, consider an open rectangular surface with a small area that is placed in a uniform electric field. The larger the area, the more field lines go through it and, hence, the greater the flux; similarly, the stronger the electric field (represented by a greater density of lines), the greater the flux. On the other hand, if...
04:32
Two-Photon In Vivo Imaging of the Mouse Retina
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2025
Source: Wang, Z., et al. Transpupillary Two-Photon In Vivo Imaging of the Mouse Retina. J. Vis. Exp. (2021).This video demonstrates a technique for in vivo retinal imaging using two-photon microscopy. Anesthetized mice are prepared for imaging by securing their heads, Applying eye lubricant, and placing a coverslip over the eye. Retinal ganglion cells (RGCs) expressing fluorescent proteins are first visualized using epifluorescence for alignment. Finally, two-photon imaging is employed,...
FAQs
Because photon energy changes with wavelength, wavelength information can affect how incident radiation is translated into a photon-based value. Measurements that account for spectral differences therefore describe illumination more meaningfully across light treatments than approaches that ignore the spectrum. This distinction matters when researchers compare biological responses under optically different conditions.
These instruments detect incident radiation and convert it into photon-based measurements, but they can provide different types of optical information. Quantum sensors directly support photon-oriented measurements, while calibrated spectroradiometers can account for wavelength during that conversion. Calibration links the instrument response to a reliable quantitative result, strengthening comparisons among biological experiments.
Standardized illumination allows researchers to relate cellular or organismal responses to defined optical conditions rather than to loosely described light treatments. It improves reproducibility and makes results from separate experiments easier to compare. This is especially valuable when evaluating how changes in exposure correspond to outcomes in photosynthesis, growth, or other photobiological processes.
A typical workflow begins by selecting an appropriate measurement instrument, detecting the radiation incident on the relevant surface, and converting that signal into photon-based data. When the light spectrum is important, the measurement also accounts for wavelength. The resulting value can then define the illumination used in a biological experiment or treatment comparison.
The measurement supports studies in which light exposure must be controlled or compared, including photosynthesis experiments, plant growth research, circadian studies, microscopy, and photobiology. In each setting, quantified illumination helps researchers describe optical conditions consistently and examine whether biological outcomes change with defined differences in exposure.
Photon flux data provide a quantitative description of the light treatment applied to a biological system. Researchers can use that description to relate illumination to responses observed at cellular or organismal levels, while also comparing treatments more consistently. This connection helps distinguish biological effects associated with defined optical conditions from effects observed under poorly characterized lighting.