The following is our response to the most common scientific skepticism we receive regarding our products and, specifically, the third-party testing we have done with cell biology lab Dartsch Scientific.

The following three objections are the most frequent topics that come up:

• No mechanism
• Conflict of interest
• No blinding

No mechanism

This argument is more about the entire scientific theory of subtle energy and its effects on the human body, of which all mainstream scientific materialism denies regardless of the plethora of studies that have been done over the decades.

Dehydrogenase activity (what XTT/WST-1 actually measure) is a downstream readout — it doesn't need to know the upstream cause to register a real change in mitochondrial activity. If something near the cells changed mitochondrial function, the assay would catch that regardless of whether the "something" is electromagnetic, biophotonic, or currently unclassified.

If your question is, did something change the fibroblasts' mitochondrial activity and proliferative behavior? The answer is yes. If the question is what was the causal agent? Your mechanism objection collapses these into one question and treats an unresolved "how" as proof there's no "what." But that's not how downstream readouts work anywhere in biology. We routinely detect real effects with no settled mechanism:

• The placebo response was measured and replicated for decades before anyone could explain it biochemically.
• Caloric restriction's lifespan effects were observed long before sirtuin pathways were proposed.
• Aspirin was used clinically for nearly 70 years before its COX-inhibition mechanism was identified in 1971.

None of those needed a mechanism in hand for the readout to be real and worth taking seriously. Subtle-energy device research is at an analogous early stage, and the effect-first, mechanism-later sequence isn't unprecedented in medicine.

If your argument is this can't be real because it cannot be explained by the current paradigm of materialist science then fine, but that is an epistemic fallacy. For example, the thermometer doesn't need to understand fire to register that the room got hotter. The XTT/WST-1 assay is the thermometer. Whether what's "heating the room" is a known physical force or something physics hasn't characterized yet is a separate, later question, and dismissing the thermometer reading because we can't yet explain the heat source gets the epistemic order backwards.

Conflict of Interest

If you are suggesting that the data must be falsified because of a conflict of interest, I would point out that virtually all product testing — drug trials funded by pharma, supplement studies funded by manufacturers — follows the same pattern. The only way to get testing done without funding it yourself is if a PhD student does it, and there is no university in the world currently that sponsors PhD students to test subtle energy devices because it falls outside of mainstream scientific consensus. Funding source shifts your prior and raises your scrutiny threshold; it doesn't logically entail the data is false.

XTT and WST-1 tetrazolium reduction assays are not Dartsch's (the lab) invention; they're standard, peer-reviewed, widely cited methods for quantifying mitochondrial dehydrogenase activity, used in oncology, pharmacology, and toxicology labs worldwide, with their own independent validation literature going back to the late 1980s.

The scratch-wound/migration assay using silicone culture inserts is likewise a recognized technique for studying fibroblast migration and proliferation.

The AI-based image quantification (Ikosa AI) is a third-party tool, not something built in-house to produce favorable readouts. The instruments here are not biased instruments — they are general-purpose, externally validated tools, the same ones used in research nobody would call pseudoscience. If the optical density reader shows a 30% difference, that's the same chemistry doing the same thing it would do in an oncology lab.

If your accusation is altered data, fabricated wells, falsified optical density readings, or any specific identified instance of manipulated results, then as with the rule of law, you would need proof of that. Skepticism is fine, but epistemic arrogance is not.

Blinding

Blinding was structurally unnecessary because the readout is mechanical, not perceptual. The specific assays of these tests are objective instrument readouts, rather than subjective clinical judgement.

The categories of bias double-blinding exists to prevent are perceptual and judgment-based: a clinician's subjective rating of patient improvement, a radiologist's read of an ambiguous scan, a researcher's choice of which borderline observation counts as "responding." None of those apply here in the way they apply in those classic cases, because the actual data-generating step is electromechanical, not a human judgment call.

The Elisa reader measures optical density at a fixed wavelength (450–690 nm) and outputs a number. A spectrophotometer does not know or care which plate is which; it cannot be swayed by expectation, because it has no expectations. The same logic extends to the regeneration assay: the Ikosa AI software, a third-party machine-vision tool, measures colonized area from a photomicrograph using its own trained image-segmentation criteria, not a human eyeballing "looks close enough." Once you've delegated the actual measurement to an instrument and a software pipeline, the classic mechanism of unblinded bias — a human nudging an ambiguous reading toward the expected answer — has nowhere to operate.

Looking ahead

With all this said, we would like to do more testing — more rigorous, and with a wider methodology — in the future.