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Related Experiment Video

Updated: Nov 6, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

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Published on: September 5, 2019

Biophotons and Emergence of Quantum Coherence-A Diffusion Entropy Analysis.

Maurizio Benfatto¹, Elisabetta Pace¹, Catalina Curceanu¹

¹Laboratori Nazionali di Frascati, Istituto Nazionale di Fisica Nucleare, Via E. Fermi 40, 00044 Frascati, Italy.

Entropy (Basel, Switzerland)

|May 5, 2021

Summary

Germinating seeds emit photons, a phenomenon studied using sensitive light detection. Diffusion entropy analysis reveals complex light emission patterns, shifting from non-ergodic to infinite memory complexity during germination.

Keywords:

biophotons cognition complexity diffusion entropy analysis

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Area of Science:

Biophysics
Quantum Biology
Complex Systems Analysis

Background:

Photon emission from biological systems is a poorly understood phenomenon.
Assessing the complexity of biological signals requires advanced analytical techniques.

Purpose of the Study:

To investigate photon emission during seed germination.
To analyze the complexity of these emissions using diffusion entropy analysis (DEA).
To differentiate between signal complexity sources in biological processes.

Main Methods:

Utilized a highly sensitive experimental setup to detect low-intensity light.
Applied diffusion entropy analysis (DEA), a method based on Kolmogorov complexity.
Analyzed both dark count signals and photon emissions during germination.

Main Results:

Dark count signals exhibited ordinary scaling, indicating no inherent complexity without biological material.
Photon emissions from germinating seeds showed anomalous scaling, similar to neuro-physiological processes.
Signal complexity evolved during germination, transitioning from non-ergodic events to stationary infinite memory.

Conclusions:

Seed germination is associated with complex photon emission patterns.
The observed complexity suggests potential links to quantum phenomena or stress responses.
DEA provides a valuable tool for characterizing complex biological signals.