by Diede DeJager
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17 December 2025
Chlorophyll fluorescence is one of the most popular technologies for fast non-invasive measurements of photosynthetic efficiency, which is used to get a better understanding of plants and how they react to their environment. It is very useful for quickly screening plants, like when breeding for a new cultivar, or testing the effect of a new product. Also in high-tech greenhouses, direct feedback from plants proves to be crucial for steering the climate and lighting. Other fields are also increasingly implementing chlorophyll fluorescence technologies, such as ecology, forestry and arable farming, using drones and satellites (making use of solar-induced fluorescence: SIF). The CF2GO and PlantExplorer systems from PhenoVation measure chlorophyll fluorescence via the PAM or OJIP protocol. With PAM, we measure two distinct states of chlorophyll fluorescence during the protocol: minimum and maximum fluorescence. To do this, modulated measuring light pulses are given to the plants to obtain fluorescence signal (see the in-depth blog on the PAM protocol for more information). The difference between minimum and maximum fluorescence gives a measure of how efficiently the plant transforms light energy into chemical energy. The OJIP protocol also measures minimum and maximum fluorescence, but zooms in specifically on this rise to maximum. In literature, this is called ‘Kautsky Chlorophyll Fluorescence Induction Kinetics’. The rise might seem simple, but it carries a surprising amount of information about how the plant is functioning and processing energy, which has been studied thoroughly over the past century by fundamental scientists. One particularly influential model explaining the Kautsky effect was developed by Strasser and his colleagues (Strasser et al., 1995), forming the foundation of the OJIP protocol. The OJIP protocol is also deployed in the CF2GO systems, and I have briefly touched upon it in a previous blog. However, since many important and sensitive parameters are derived from OJIP, and given its complexity, I’ve decided to dedicate a full post to it. Here, I will dive into this theoretical model from Strasser. In a second part, I will go into the measured parameters.