Submitted:
05 November 2025
Posted:
06 November 2025
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Abstract
Keywords:
1. Introduction
- Systematize the biochemical and biophysical basis of biophoton emission.
- Present the experimental methods currently in use and their limitations.
- Evaluate quantum biological theories and their empirical basis.
- Review the possibilities of cell-level and intercellular light-based communication.
- Present scientific evidence for photon emission as a means of DNA communication.
- Identify currently open questions and suggest directions for further research.
2. Biological Mechanisms of Photon Emission
2.1. Biochemical Background
2.2. Photon Emission at the Cellular Level
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2.3. Open Questions
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- Which specific molecular reactions are responsible for the highest photon emission? Is it possible to selectively inhibit or enhance these reactions?
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- To what extent is photon emission cell type-dependent? Are there cell lines that emit light particularly strongly or regularly?
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- How does the internal architecture of the cell (e. g., the spatial distribution of mitochondria) affect the emission pattern?
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- Is real-time, spectrally selective mapping of photon emission from cells in vitro and in vivo possible?
3. Experimental Approaches and Challenges
3.1. Measurement Techniques
3.1.1. Photon Detection Systems
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- Photomultiplier tubes (PMTs):
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- Cooled CCD cameras (Charge-Coupled Device):
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- SPAD (Single-Photon Avalanche Diodes):
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- CMOS (Complementary Metal-Oxide Semiconductor)
3.1.2. Environmental and Measurement Conditions
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- Darkroom: Complete exclusion of environmental photons is necessary – often with multi-layer shielding, vibration-free flooring, and thermostatic control.
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- Calibration: It is important to know the exact dark count and the spectral response of the detector.
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- Temperature and pH control: Cell metabolism and thus photon emission are extremely sensitive to environmental factors.
3.2. Samples and Experimental Protocols
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- In vitro cell cultures: provide a standardized, well-controlled environment. Common models: HeLa, fibroblasts, plant cells.
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- Isolated cell organelles: e. g., mitochondria or membrane fragments for targeted biochemical analysis.
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- Tissue samples or whole living organisms (e. g., zebrafish embryos, mouse embryos, Arabidopsis leaves): for studying physiological relevance.
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- Sample preparation is a critical step: mechanical stress, oxidative environment, or metabolic disturbances can falsely increase emissions.
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- Low signal-to-noise ratio: Even under ideal conditions, it is difficult to separate true photon emission from background noise.
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- Lack of standardization: Research groups use different measurement procedures, which makes comparison difficult.
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- Environmental effects: Temperature, humidity, and electromagnetic noise can affect the accuracy of measurements.
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- Biological variability: The natural heterogeneity and dynamic state of cells pose a challenge to reproducibility.
4. Quantum Biological Interpretations
4.1. The Coherent Biophoton Theory
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- A low-entropy photon field in which the temporal and spatial patterns of photon emission are not completely random.
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- The photon emission spectrum may also contain monochromatic components, especially during certain physiological processes.
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- Cells, as quantum oscillators, may be capable of generating light pulses and synchronizing with each other.
4.2. Quantum Coherence and Quantum Information in Living Systems
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- Photosynthesis: light energy can be transferred in a quantum coherent manner in photosynthetic complexes (e. g., FMO complexes), as confirmed by femtosecond spectroscopy [57].
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- Photons may function not only as emissions but also as internal communication signals.
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- Cells may behave as a quantum network, where electromagnetic fields synchronize activity.
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- Emission may follow nonlinear dynamics, which can also be observed in chaotic or fractal patterns [46].
4.3. Critical Remarks and Methodological Issues
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- Coherence time: biological systems operate in a thermal, noisy environment where the duration of quantum coherence is extremely short—typically on the order of picoseconds.
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- Lack of empirical evidence: few direct measurements confirm coherent biophoton emission. Measurements are sensitive to noise, and statistical processing requires great caution.
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- Alternative explanations: the observed patterns can often be explained by classical nonlinear systems (e. g., oscillation, stochastic resonance).
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- Nevertheless, quantum biological interpretations offer important new perspectives for the study of living systems. To move forward, multidisciplinary experimental protocols combining quantum optical, biophysical, and biochemical methods are needed.
5. Light-Based Communication at the Cellular and Intercellular Levels
5.1. Intracellular Light Signals
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- Mitochondria: Reactive oxygen species (ROS) generated during cellular respiration and their chemical reactions can lead to the emission of photons. These "internal light points" may also encode temporal and spatial patterns of intracellular activity [63].
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5.2. Intercellular Photon Communication
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- Gurwitsch's mitogenetic radiation (1920s): long-distance light signaling between the apical regions of onion bulbs, which may have induced cell division.
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- Kobayashi et al. [46]: non-chemical interactions between different plant cell cultures were demonstrated, which were reduced by optical shielding.
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5.3. Possible Mechanisms
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- Emission: The emitter cell is capable of emitting photons in a controlled manner, either in response to environmental stimuli or according to internal rhythms.
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- Detection: The receiving cell detects the photons and responds functionally based on these signals. This can be activation via receptors or membrane proteins, or even modification of intracellular signaling pathways.
5.4. The Question of Photon Patterns and Information Content
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- The photons emitted by cells can carry information not only based on their quantity, but also on temporal fluctuations (pulsation, oscillation), spectral characteristics (wavelength dispersion, bands), polarization, and other quantum characteristics. Experimental results show that certain photon patterns may be unique to a cell line, developmental stage, or stress state [71]. This information encoding is similar to classical electrical activity patterns (e. g., EEG, action potentials), but occurs with a photonic signal.
6. Present Scientific Evidence for Photon Emission as a Means of DNA Communication
The Interaction Between Photon Emission and DNA
7. Summary of Our Own Research
8. Future Research Directions
9. Conclusions
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- understanding coherent processes at the cellular level,
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- broadening the toolkit of quantum biology,
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- and, in the long term, exploring the physical dimensions of biological information processing.
Acknowledgments
Conflicts of Interest
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