A Scientific Breakthrough Inspired by Nikola Tesla

In 1894, Nikola Tesla reported producing what he called “shadowgraphs” — internal images created before Wilhelm Röntgen formally announced the discovery of X-rays in 1895. Tesla’s early experiments suggested that high-voltage electrical systems could generate penetrating radiation with imaging capability.

Today, in collaboration with international research partners in the United States, the United Kingdom, and Canada, nuclear physicist Dr. Jan Rak and his team have experimentally reconstructed one of Tesla’s lesser-known concepts — and the results are remarkable

The project, known as ShadowGraph, appears to generate a form of radiation capable of producing internal images similar to X-rays — yet without the harmful biological effects typically associated with ionizing radiation

What Has Been Achieved So Far

According to the 2026 technical roadmap

, the team has:

Achieved reproducible imaging under controlled laboratory conditions
Designed and constructed an advanced Tesla transformer with a controlled spark-gap system
Established in-house proprietary lamp manufacturing capability, ensuring rapid iteration and intellectual property control
Conducted early biological response studies comparing ShadowGraph exposure to conventional X-rays

Experimental shadowgraph images have already been produced, including imaging of biological specimens and human extremities (January–February 2026 experiments)

Preliminary Biological Findings

One of the most intriguing findings comes from comparative biological studies conducted by Griffin G. Brock Laboratories (USA)

dd67e388-457a-4086-9449-5c13385…

In controlled experiments using radish seeds exposed to 0–100 Roentgen:

Conventional X-ray exposure showed a typical negative dose-response trend.
ShadowGraph exposure showed no clear monotonic negative biological response.

While these are early-stage results and further validation is required, the preliminary data suggests that ShadowGraph emission may operate through a mechanism not fully described by conventional X-ray physics.

This is now entering a formal emission classification phase in 2026.

Potential Applications

If validated through spectral characterization and regulatory assessment, ShadowGraph technology may have transformative implications across multiple industries

Primary Application

Medical Imaging
- Potential DNA-safe imaging
- Improved collimation and tomography capability

Additional Applications

Geophysics & mining exploration
Airport security scanning
Non-destructive industrial testing (defectoscopy)
Nuclear waste remediation research

One particularly bold research direction suggests the radiation may influence the lifetime of exposed radioactive material — a hypothesis that requires rigorous validation but opens significant scientific discussion.

2026 Validation Roadmap

The project is currently entering a critical validation phase

Q2 2026: Spectral validation – determine emission class
Q3 2026: Stability testing – confirm reproducibility
Q4 2026: IP strategy – secure defensible intellectual property position
Q4 2026: Spin-off creation – commercialization vehicle

The primary technical risk at present is regulatory classification pending full spectral characterization.

However, the strategic advantage lies in proprietary in-house lamp manufacturing, allowing controlled scaling and IP protection.

Capital Requirement

The current capital requirement for full validation and development is approximately:

CZK 3,949,539 (~USD 192,000 equivalent)

This funding supports:

Spectral characterization equipment
Imaging validation systems
Prototype tube production
Laboratory operations for six months
IP protection strategy

Key milestone objectives:

Emission classification complete
Basic radiology validation
IP secured

Invitation to Strategic Investors

The ShadowGraph project stands at a potential inflection point.

If spectral validation confirms a distinct emission class with reduced biological harm, this platform may represent a defensible deep-tech imaging breakthrough with cross-industry scalability.

We are currently seeking: