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Channel Rhodopsins

Channel Rhodopsins

Most organisms use photoreceptors to sense and respond to light. Examples of photoreceptors include bacteriorhodopsins and bacteriophytochromes in some bacteria, phytochromes in plants, and rhodopsins in the photoreceptor cells of the vertebral retina. The light-sensitive property of these receptors is because of the bound chromophores, such as bilin in the phytochromes and retinal in the rhodopsins.
Rhodopsins belong to the family of cell surface proteins called G-protein coupled receptors,...

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Autofluorescence Imaging to Evaluate Red Algae Physiology

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Radiance-ratio algorithm wavelengths for remote oceanic chlorophyll determination.

F E Hoge, C W Wright, R N Swift

|May 22, 2010

Summary

This summary is machine-generated.

This study found that specific two-band ratios in visible light accurately estimate oceanic chlorophyll. Closely spaced bands in the yellow, orange-red, and red spectrum show promise for chlorophyll determination in coastal waters.

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Area of Science:

Oceanography
Remote Sensing
Spectroscopy

Background:

Accurate oceanic chlorophyll determination is crucial for understanding marine ecosystems and water quality.
Existing remote sensing algorithms for chlorophyll estimation face challenges in diverse oceanic regions.

Purpose of the Study:

To evaluate two-band radiance-ratio algorithms for remote oceanic chlorophyll determination.
To identify optimal spectral bands for chlorophyll estimation using airborne active-passive data.

Main Methods:

Utilized airborne active-passive (laser-solar) data from various oceanic regions.
Generated 2-D chlorophyll-fluorescence and radiance-ratio statistical correlation matrices.
Analyzed all possible two-band ratio combinations from 32 contiguous passive bands.

Main Results:

Closely spaced radiance-ratio bands showed high correlation with laser-induced chlorophyll fluorescence.
Yellow (~565/575-nm), orange-red (~675/685-nm), and red (~695/705-nm) bands show promise for Case II waters.
Blue-green radiance ratios (~490/500-nm) were effective for Case I waters with limited data.

Conclusions:

Specific two-band radiance ratios are effective for remote chlorophyll estimation.
Optimal band combinations vary depending on oceanic water type (Case I vs. Case II).
This research advances remote sensing capabilities for monitoring ocean chlorophyll.