Wikipedia User:Fluoromaticslab/sandbox/Biolyzer Software for Chlorophyll Fluorescence Kautsky Kinetics Analysis

Biolyzer software is a PC computer program developed by Ronald Maldonado Rodriguez at the Fluoromatics Lab (Geneva, Switzerland) for analyzing chlorophyll fluorescence data sampled with a continuous exciting light fluorometer type. This software is typically used for evaluating the efficiency of plant photosynthesis. The analysis of photosynthetic efficiency can be applied for plant health status monitoring and early detection of stress in plants, algae, and cyanobacteria. Plant physiology researchers use Biolyzer for analyzing and classifying fluorescence Kautsky kinetics data in order to determine typical plant behaviour as different types of photosynthetic responses to different biotic and abiotic stress conditions and factors. Early detection of stress effects in plant cultivars (e.g. agricultural crops, gardens and parks, forestry and urban trees, algae bioreactors) can help to prevent damage before it is too late.

Biolyzer software technology has been built using speed-optimized and robust algorithms for calculating the parameters of the JIP-Test, a pioneering technique for analysis of fast induced chlorophyll fluorescence OJIP signals measured in plant material (by plant I mean higher plants, green algae and cyanobacteria). Biolyzer® X12 software provides full calculations of the JIP-Test plus an incredible bunch of useful graphical and diagram tools for extracting more and more information out of your fluorescence data. With Biolyzer, you can learn and discover new plant knowledge. Biolyzer X12 has been particularly recognized as the best and the faster ever released version.

Biolyzer is not only a simple JIP-test calculator. Biolyzer provides professionally looking great colorful displays and sophisticated plots of multidimensional, large data sets and their components. Raw and processed data can be presented in a leading edge graphical way that allows the user to intuitively discover, analyze, and interpret new relationships within the data. This requires no prior knowledge of statistical methods or clustering techniques, and thus delivering analysis of complex data in a much simpler way.

Biolyzer has built-in extensive capabilities for data pre-processing and post-processing, as well as for extraction of statistical summary information on raw data patterns. Interfaces and import routines for various tools such as Excel™, SPSS™, Sigma Plot™, and Origin™ make working with fluorescence curves much easier and more efficiently and help to build fast experiment reports on top of it.

Biolyzer is a program for doing JIP-test calculations and much more. But then again you probably already know that. But wait, there’s more. Biolyzer was originally built to serve a demand created when the JIP-test technique began coming on strong as the leader in fast fluorescence kinetics analysis. And since its first release in 1999, Biolyzer became a really useful tool for the implementation of the JIP-Test. And wherever fast fluorescence kinetics analysis goes, Biolyzer will follow.

Based on the “Theory of Energetic Fluxes in Biomembranes”, the JIP-Test was introduced as a method for analysis of fast OJIP fluorescence induction kinetics by Professor Reto J. Strasser in [Strasser, 1995]. The JIP-test has been validated in many scientific publications and since 1999 Biolyzer, despite its initially limited capabilities at that time, quickly became the most popular software for calculating the JIP-Test as it had already some built-in simple graphic analysis tool. Which bring us back to the topic at hand – JIP-Test. This technique was introduced by Professor Reto Strasser and his collaborators while working at the Bioenergetics Laboratory of the University of Geneva. The JIP-test method is an excellent academic product that have been published in many peer-reviewed scientific journals and technical books.(your article name) is... (description)