Correlated Color Temperature
Correlated Color Temperature - Related Videos
11:22
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
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Cited by 12 •
2018
Here, we present a protocol to obtain three-color smFRET data and its analysis with a 3D ensemble Hidden Markov Model. With this approach, scientists can extract kinetic information from complex protein systems, including cooperativity or correlated interactions.
02:20
Correlations
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2020
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
10:25
Dual-color Correlative Light and Electron Microscopy for the Visualization of Interactions between Mitochondria and Lysosomes
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Cited by 4 •
2024
This protocol describes a mechanism for using correlative light and electron microscopy to visualize the interaction of mitochondria and lysosomes labeled with mEosEM and APEX2, respectively.
09:20
Color Afterimages
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Human color vision is impressive. People with normal color vision can tell apart millions of individual hues. Most amazingly, this ability is achieved with fairly simple hardware. Part of the power of human color vision comes from a clever bit of engineering in the human brain. There, color perception relies on what is known as an 'opponent system.' This means that the presence of one kind of stimulus is treated as evidence for...
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
Similar CCT values do not complete a lighting specification. CCT addresses a source’s visual color, while color-rendering data, illuminance, and spectral measurements provide additional information for evaluating system performance. Engineers should therefore compare these measures together rather than treat a kelvin value as a stand-alone prediction of suitability for a particular environment or task.
Chromaticity provides the color-related measurement that is compared with an ideal blackbody reference. The resulting CCT expresses that relationship on a kelvin scale, allowing engineers to communicate whether a source presents a warmer or cooler visual appearance. Chromaticity therefore serves as the measurement basis for specification, not as a reading of the source’s operating temperature.
CCT and color rendering describe different aspects of a light source. CCT communicates the apparent warm or cool character, whereas color-rendering information helps engineers evaluate the source’s handling of colors. Considering both prevents selection based solely on visual tone and supports more complete comparisons among LEDs, lamps, or other lighting systems.
A practical evaluation combines CCT with color-rendering data, illuminance, and spectral measurements. CCT helps characterize the source’s visual color, illuminance addresses the amount of light available, and spectral measurements add information about the emitted light. Together, these measurements provide a broader basis for specifying or comparing lighting systems than any single value.
Engineers can use CCT when selecting or specifying LEDs, lamps, and displays for architectural lighting, imaging, manufacturing, and human-centered environments. The appropriate choice depends on the intended application and should be assessed with color rendering, illuminance, and spectral measurements. This approach connects a source’s visual appearance with broader system-performance requirements.
For displays and imaging applications, CCT provides a way to specify and evaluate the apparent color of the light source or lighting system. Engineers can then interpret that value alongside spectral measurements and color-rendering information, while considering illuminance where relevant. This combined assessment supports more informed comparisons than selecting equipment from CCT alone.