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https://github.com/gagniuc/prototype-software-for-photon-pixel-coupling

Photon-pixel coupling is a novel method that allows a parallel sampling of an unlimited number of sensors. In the case shown here, 200 sensors are sampled in parallel at video rate frequency. This implementation is done in Visual Basic 6.0 (VB6).
https://github.com/gagniuc/prototype-software-for-photon-pixel-coupling

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Photon-pixel coupling is a novel method that allows a parallel sampling of an unlimited number of sensors. In the case shown here, 200 sensors are sampled in parallel at video rate frequency. This implementation is done in Visual Basic 6.0 (VB6).

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# Prototype software for Photon-pixel coupling method

Photon-pixel coupling is a novel method that allows a parallel sampling of an unlimited number of sensors. In the case shown here, 200 sensors are sampled in parallel at video rate frequency. The Vesta software shown below, analizes consecutive images from a special folder. Previously, this folder is filled up with images from a dedicated [WebCam software](https://github.com/Gagniuc/WebCam-software-sampling). The Vesta implementation is made in Visual Basic 6.0 (VB6). Please read more here:

1) [Photon-pixel coupling: A method for parallel acquisition of electrical signals in scientific investigations](https://www.sciencedirect.com/science/article/pii/S2215016119300901)

2) [The electrical activity map of the human skin indicates strong differences between normal and diabetic individuals](https://www.sciencedirect.com/science/article/abs/pii/S0956566318306663)

3) [Maps of electrical activity in diabetic patients and normal individuals](https://www.sciencedirect.com/science/article/pii/S2352340918312204)

![screenshot](https://github.com/Gagniuc/Prototype-software-for-Photon-pixel-coupling/blob/main/screenshot/Photon-pixel%20coupling%20(3).PNG)

# References
- Gagniuc, P.A., Ionescu-Tirgoviste, C., Gagniuc, E.. Photon-pixel coupling: a method for parallel acquisition of electrical signals for scientific investigations. Methods X, 6(2019) 968-979.

- Constantin IONESCU-TIRGOVISTE*, Paul A. GAGNIUC*, Elvira Gagniuc. The electrical activity map of the human skin indicates strong differences between normal and diabetic individuals: A gateway to onset prevention. Biosensors and Bioelectronics, 120 (2018) 188–194.

- Ionescu-Tirgoviste, C., Gagniuc, P.A., Gagniuc, E.. Maps of electrical activity in diabetic patients and normal individuals. Data Brief. 2018, 21: 795–832.