Related Experiment Video
Updated: May 10, 2025

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy
Published on: December 9, 2013
Application of Simultaneous Active and Passive Fluorescence Observations: Extending a Fluorescence-Based qL
Chenhui Guo1, Zhunqiao Liu2, Xiaoliang Lu2
1College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China.
Accurate estimation of Photosystem II (PSII) reaction centers (qL) is crucial for understanding plant photosynthesis. This study establishes reliable chlorophyll fluorescence (ChlF_PSII) relationships for qL across diverse plant types, enabling better large-scale photosynthetic measurements.
Area of Science:
- Plant Physiology and Photosynthesis
- Remote Sensing
- Ecology
Background:
- The fraction of open Photosystem II (PSII) reaction centers (qL) is key for linking chlorophyll fluorescence (ChlF_PSII) to electron transport rates.
- Current ChlF_PSII-qL relationships have uncertainties across plant functional types (PFTs), limiting large-scale applications.
- Accurate qL estimation is vital for mechanistic estimation of photosynthetic CO2 assimilation.
Purpose of the Study:
- To develop and validate a method for accurately estimating qL using ChlF_PSII across diverse PFTs.
- To establish quantitative ChlF_PSII-qL relationships applicable to passively induced fluorescence measurements.
- To assess the potential of remotely sensed chlorophyll fluorescence for estimating qL and improving Gross Primary Production (GPP) models.
Main Methods:
- Developed a leaf-level instrument for simultaneous active and passive chlorophyll fluorescence measurements.
- Measured light, CO2, and temperature response curves across 52 species representing seven PFTs.
- Analyzed the linear correlation between passively and actively induced ChlF_PSII and modeled the ChlF_PSII-qL relationship within PFTs.
Main Results:
- A strong linear correlation (R2 = 0.85) was found between passively and actively induced ChlF_PSII.
- The ChlF_PSII-qL relationship parameters varied among PFTs, but ChlF_PSII reliably modeled qL within each PFT (R2 = 0.85–0.96).
- Quantitative ChlF_PSII-qL relationships were established for various PFTs using passively induced fluorescence.
Conclusions:
- Passively induced fluorescence can be reliably used to calculate ChlF_PSII for estimating qL.
- This study provides PFT-specific ChlF_PSII-qL models, improving the accuracy of qL estimation.
- Remotely sensed chlorophyll fluorescence shows significant potential for mechanistic GPP estimation at large spatial scales.
More Related Videos
Related Concept Videos
Protein Dynamics in Living Cells
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...
Super-resolution Fluorescence Microscopy

