The Atlas of Disease States

Biofieldsciences Journal
Biofield sciences journal
7 min readJan 26, 2019

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Streeter TWJA

The Centre for Biofield Sciences (CBS)

Maharashtra Institute of Technology, Pune, India. HQ Exeter UK

Introduction

CBS has for several years been conducting research into a new model of health assessment using systems developed by Dr Harry Oldfield: PIP (Polycontrast Interference Photography) and ESM (electro-scanning method). Our aim is to create an ‘Atlas of Disease States’ that will provide valuable information in the diagnosis of illness and disease.

For the past 10 years the Centre for Biofield Sciences (CBS) has undertaken a large-scale research project into human health status. Unlike modern (western) methods to assess a person’s ‘condition’, which tend to focus on the physical parameters of the body, the concern of study has been the non-physical (etheric) layers of the body. These layers are known as the Energy Field (EF), often referred to as one’s aura.Every (living) thing has an EF that can provides valuable information concerning not only a person’s current state of health but also their history of health and even their future health prospects. Traditionally diagnosis of this energy field has rested in the sensitive hands of healers who can see and or feel the EF. From this subjective analysis, illnesses can be detected before they manifest themselves in the physical being. Now for the first time the PIP scanner allows for this energy field to be detected in a scientifically objective manor. A system that can foresee a potential weakness in the EF will allow for pre-symptomatic treatment, thus preventing a weakness ( or imbalance) manifesting itself in the physical body in the form of disease/illness. As Gerber states in Vibrational Medicine (2000)

“since life energy imbalances seem to precede the appearance of physical disease, the ideal preventative medicine would be able to detect (and correct) these imbalances before people actually became sick.”

The potential for the PIP acting as a (pre-) diagnostic system for averting the unnecessary pain and suffering of the patient is clear. Furthermore there is the potential for a huge financial savings for both the client and the already overstretched health services.

Materials and methods

The PIP scanner forms the central part of CBS’s Energy Field Imaging System.

Polycontrast Interference Photography is a holistic scanning system that reveals the interference of light patterns, at and beyond, the visible spectrum and shows energy dynamics at work. The PIP uses a computer compatible piece of software that alters a digital image from a video camera leading to a visible representation of the (usually) non visible light waves of energy. The image is displayed in real time on a monitor where signals from the video camera are graded into clearly visible colours. This represents a much finer gradation of light intensity than the image entering the camera. Light spectrums can be distinguished that would otherwise be impossible to see with the human eye. Each wavelength of non visible light is assigned a colour and ‘brought’ into the visible spectrum

This system provides a visual interpretation of the subtle energies surrounding the human body. Alternatively, the Electro-Scanning Method (ESM) can be used to give a quantitative assessment of the energy field. Together they allow an accurate map of the Human Energy Field (HEF) to be created for each individual, highlighting areas of imbalance or disease.

The individual is scanned in a full-spectrum lighting environment. This comprises a full length, full-spectrum bulb (manufacturer) suspended above the client with a more portable full spectrum bulb to combat shadows. These should be the only light sources in the room i.e. an otherwise dark room. Behind the individual should be a clean, flat white backdrop.

To ensure uniformity with the shots, the scanning adheres to the following procedure:

1) The client is positioned centrally under the large full-spectrum lighting.

2) The Camera is kept at a distance of 1.5m from the client

3) The Camera target for first four shots (F, L, B, R) is heart chakra. Parameters for these shots are just above the head and just below the navel.

4) For the next two shots. Head, H and Head close, HC only the zoom function should be used on the camera. The height of the camera must not be altered.

5) Procedure for the knee shots

Analysis involves colour and pattern recognition. The behaviour and colours of the energy wave lengths can reveal distorted patterns of energy, indicating where current problems may exist, and more importantly where disease could occur.

Analysis with the PIP scanner is qualitative, being a descriptive account of imbalances in a person’s EF. Such analysis draws parallels with the current examination of X-rays slides, CAT and PET scans, however can more closely be compared to a functional MRI scan as it is a real time image that can display changes over any period of time. There are a few ground rules for PIP scan analysis. Firstly a healthy body is a balanced body and vice versa. It should be mentioned here that in the PIP scans carried out to date, CBS are yet to find a perfectly balanced patient (everyone has a degree of imbalance!). The Human energy field (HEF) can be described, in energetic terms, as being balanced/ imbalanced with the possibility of specific areas appearing congested. Generally speaking dark colours (not caused by shadow) i.e. reds, browns, blacks reflect areas congestion and therefore concern. On the other hand lighter colours such as greens and yellows indicate areas of balance. However, its not quite so clear cut as bright (white) colours often indicates over-compensation for an area that is imbalanced. (Explanation of what PIPs show earlier with example Pip, discuss eastern medicines, basics of meridian, chakra systems). Each chakra is said to have a specific colour associated with it (Diagram).

The colours displayed by the PIP are identical to the traditionally believed colours or each chakra, with the exception of the throat and heart charkas, which are reversed by the scanner.

In its most specific form, a PIP scan diagnosis/interpretation for each of the client’s 7 seven main chakras. Thus each chakra is described as being either balanced (B) or imbalanced (IM). The degree of imbalance requires quantification, either by subjective interpretation or via objective ESM .

A Pixel quantification programme may provide quantitative analysis. A client may show a percentage of red in their system prior to treatment and post analysis may reveal a reduction in red, thus a more balanced EF. Alternatively, an oscilloscope may be used to measure specific colour frequencies being ‘emitted’ by the patients EF. These would be expected to correlate exactly with the PIP scans. A light meter as opposed to the ESM, which measures sound

Data Analysis

Chi squared test analysis will be used to test the significance of the relationships between a clients Gender/Age/Diet/Medical History and their EF status according to PIP scan based on the simply descriptive (qualitative) analysis. Thus data may be presented in the form of a table as follows:

Patient Reference

Gender

Vegetarian

Imbalanced Chakras (ESM in brackets)

ESM reading

Medical History

00226

M

N

C (-1), N (-2)

C –1, N -2

Hypothesis

The pre-diagnostic PIP system provides a means to recognise a person’s energetic imbalances before it physically manifest itself, therefore facilitating pre-warning of potential conditions/illness/disease.

More specifically, statistical analysis of PIP scans may allow for association to be made between life style (job, exercise, nutrition) and specific chakra imbalances

Results and Discussion

To date we have catalogued over 2500 individuals. These can be categorised into three major groupings: Pre-medical, medical and post-medical. The groups can be further classified on their disease state. To date cases have been recorded for at least 40 different disease states including Arthritis, Cancer and Respiratory disease.

Case studies suggest energy imbalances appear in the HEF before they manifest as symptoms in the physical body see Fig. 1

This PIP image shows red congested energy focused around the heart region of the body. At the time the individual was not suffering from any physical complaints. Four months after this scan was taken he began experiencing heart problems

PIP can show the HEF imbalances relating to the site of the individual’s pain and depicted by distorted patterns and different spectral configurations. PIP scans can also be used to monitor the effect of different healing systems on the HEF, both natural and allopathic treatments.

ME (chronic fatigue) client before treatment

Notice low energy in field shown by red colour

In particular chest and throat region

After course of Electro crystal therapy

Field much brighter. Red energies replaced by more balanced colours of yellow and green and the natural blue hue has returned to the throat

Also reduction in the low orange colours surrounding the client

Some conditions show up extremely clearly in the PIP field. Figure 3 shows an example of this, a client with throat cancer. The dark, almost black appearance of the throat region indicates the area of concern. However although the cancer is in the throat the physical condition appears to have an effect on the colours seen around the client. The bright white appearance is characteristic of cancer patients.

Conclusion

From our research, patterns of imbalance display themselves in the HEF before they do in the physical body. Detection of these pre-symptomatic stages of disease will allow preventative measures to be taken to re-balance the system. Eventually the Atlas will allow for objective comparison, via pattern recognition, of healthy and non healthy PIP scans. This opens possibilities for an instant automated analysis of ones energy field for identification of problem areas.

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Biofieldsciences Journal
Biofield sciences journal

A curation of research work by independent laboratories working on Biofield, Subtle energy, and energy medicine research.