Digital optic biopsy of the retina. (Quantum Pixelometry)
Biopsia óptica digital de la retina. (Pixelometría cuántica)
Patología 2018 ene;56(1):24-26.https://doi.org/10.24245/patolrevlatin.v56i1.2402
Profesor Consulto Titular, Facultad de Medicina, Universidad de Buenos Aires, Laboratorio de Patología Digital, Universidad Maimonides, Buenos Aires, Argentina.
Recibido: 29 de marzo de 2018
Aceptado: 26 de junio de 2018
Dr. Jorge Oscar Zárate
Oscar-Zárate J. Biopsia óptica digital de la retina. (Pixelometría cuántica). Patología Rev Latinoam. 2018;56(1):24-26.
“When it seems to diminish the possibilities of new molecules to unravel the mysteries of life and death, a new physical design emerges as a sequential core of dynamic structures: The Pixel”.
The geometry of the pixels denotes a certain combination of Euclidean and two-dimensional elliptical geometry, especially with the three-dimensional options allowed in the Riemannian geometric construction scheme. The existence of sub pixels (red, green and blue) dead and stuck pixels, color and high-resolution monitors have led to almost improbable geometric expressions. Graphics cards such as S3, NVIDIA or ATI, among others, infinitely exceed the possibilities of combinations. The genome could be identified, in this case, with 16.8 million colors (32 bits).
The QRS, the old fingerprint, the facial detectors, the facial detection (FBT), bar codes, different forms of interferometry and spectrometry make possible to use non-invasive methods of uncalculated limits to determine protein identity or DNA.
We use the new non-Euclidean pixelometric geometry described, on the pixel, as a measurement converter of density, metric, shapes, and so on.
The group of experts JPG (Joint Photographic Experts Group), has significantly advanced the compression of images, both in color and grayscale of high quality, giving the fabulous figure of 16,000,000 colors.
The pixelo-architecture is the information that, through multiple cuts, allows us to acquire, from the optical coherence tomography of the retina, the structure of a cell or a protein, focally and morphologically.
It is the world of pixels identified by square, hexagonal, rectangular, round, dead images, etc., there is no information of their own. No morphology forgets that the image (pixel), decoded, is pure morphology.
Quantum computing is a different computing paradigm than classical computing. It is based on the use of qubits instead of bits and gives rise to new logic gates that make possible new algorithms.
In digital computing, a bit can only take two values: 0 or 1. However, in quantum computing, which involves the laws of quantum mechanics, and the particle can be in coherent superposition: it can be 0, 1 and can be 0 and 1 at a time (two orthogonal states of subatomic particle). This allows you to perform several operations at the same time, depending on the number of qubits.
The number of qubits indicates the number of bits that can be in overlap. With conventional bits, if we had a three-bit register, there would be eight possible values and the register could only take one of those values. But if we have three qubits vectors, the particle can take eight different values simultaneously due to the quantum superposition. Therefore, a vector of three qubits allows a total of eight parallel operations. As expected, the number of operations is exponential with respect to the number of qubits.
However, the ability to store your own information in a unit, which is the pixel, makes it more accurate, dynamic and reliable. Quantum physics is the physics of change, the management of the unified fields of the four forces: gravity, electromagnetism, the strong and the weak force of the atomic nucleus.
Einstein suggested the existence of a field that contains space-time transformations and massive energy. This field could be the pixel. In the photos that we show, you can see digital cells of pixeloarchitectular sequencing of the retina, in this case with special detection references of the pigment epithelium layers, based on sequencing images, obtained in our Digital Laboratory (Maimonides University). Figures 1 and 2