Photonic Bridging

Photonic Bridging is a new technique used to calculate a subjects unique resonant photonic bridging frequencies that are obtained from an image taken using a camera phone. For several years now we’ve been researching various aspects of frequencies and the effects these frequencies have on people, places, and things. Our goal is to use these calculated frequencies from a subjects image not to diagnose an issue but to use them in creating a “balanced system”.

An example of how we see photonic bridging frequencies working. Lets say your in a crowded room and someone pages John Doe over the intercom system you wouldn’t answer (unless your name is John Doe), but if they page/call/say your exact name you would answer (that’s the name you resonant with). Some parts of the body work in a similar fashion. The body is similar to a very crowded room which has multiple conversations going on all at once. We find that by using the subjects own photonic bridging data is similar to “calling/using/saying” the exact name of the subject, whereby getting their attention especially in a crowded room.

I’m a firm believer that everything contains its own seeds for growth but also it’s own seeds for decline. I’ll use water as an example, an H2O molecule is made up of two gases Hydrogen and Oxygen that can be extremely flammable, but when combined in the right proportions these two flammable gases can be used to extinguish the very flames they may create. Our goal is to balance / put out these flames by using the same frequencies that may have been used to create them. We do this by using the subjects own photonic bridging data we obtain from their image.

Plant Section:

In this section we will be describing the Photonic Bridging process by using a plant leaf as a subject. Before we do this however we should remind you that plants use photosynthesis to synthesize foods from sunlight, carbon dioxide, and water. The best wavelengths of visible light for photosynthesis to occur fall within the blue color range (425–450 nm) and red color range (600–700 nm). see Fig. 1

Fig. 1 Plant Absorption spectrum for Chlorophyll-a

Example: Photonic Bridging Process of leaf.
1st) We take a photo of the subject (in this case a plant leaf). see Fig. 2

2nd) The algorithm generates a new image in which we’re able to obtain the following Photonic Bridging data: see Fig. 3

The Photonic Bridging wavelengths of the leaf.
The amount of Photonic Bridging wavelengths the leaf has.
The exact locations of the Photonic Bridging wavelengths of the leaf.

Fig. 3 Photonic Bridging wavelengths and locations on the leaf

As you can see the (Blue and Red) wavelengths a plant uses to produce Chlorophyll-a and what the Photonic Bridging algorithm generates are very similar. Please note that this is only one leaf from one plant. It will be interesting to see how the Photonic Bridging data changes when a leaf has been injured, and what changes occur in the photonic bridging data while the plant is repairing itself.

Human Section:

A question you may ask is what will be generated when the Photonic Bridging algorithm is applied to an image showing human skin?

In this section we tested an image of a baby with jaundice. Infant jaundice is a yellow discoloration of a newborn baby’s skin and eyes. Infant jaundice occurs because the baby’s blood contains an excess of bilirubin, a yellow pigment of red blood cells.

Infant jaundice is a common condition, particularly in babies born before 38 weeks’ gestation (preterm babies) and some breast-fed babies. Infant jaundice usually occurs because a baby’s liver isn’t mature enough to get rid of bilirubin in the bloodstream. In some babies, an underlying disease may cause infant jaundice.

One treatment for jaundice is to use phototherapy with light in the blue-green wavelength ranges. There’re currently several devices being tested as a way to diagnose and treat an infant with jaundice.

Our goal at the moment is not to diagnose or treat any particular condition but to simply show the efficacy in our photonic bridging process.

In this example we will use a photo image of an infant with jaundice to calculate their photonic bridging data. Remember one of the treatments of infant jaundice is to use phototherapy with light in the blue-green wavelength ranges.

Example: Photonic Bridging Process of jaundice infant.
1st) We take a photo of the subject (in this case an infant). see Fig. 5

Fig. 5 Original image of infant with jaundice

2nd) The algorithm generates a new image in which we’re able to obtain the following Photonic Bridging data: see Fig. 6

The amount of Photonic Bridging wavelengths the infant has.
The Photonic Bridging wavelengths of the infant.
The exact locations of the Photonic Bridging wavelengths of the infant.

Fig. 6 Photonic Bridging wavelengths of infant with jaundice

Fig. 7 Photonic Bridging Data of infant with jaundice

As you can see the (Blue and Green) wavelengths they use to help an infant recover from jaundice and what the Photonic Bridging algorithm generated (from the image of the jaundice infant) are very similar.

Please note: the final output isn’t created using a convolution function. To test this for yourself follow these steps:

1) Copy the original image from our website.
2) Perform / Execute a convolution function using the original image (which most programming languages include).
3) Compare the image generated with the convolution function you generated to our final output image. As you can see the two do not match.

Photonic Bridging

Do you have questions about our Photonic Bridging process?

email: stillpointx@gmail.com