Optical Recognition\nof the English Alphabet Using\nProteinoids

We introduce a new abiotic-protein-based substrate for\nidentifying\nEnglish alphabet characters optically using proteinoids. Proteinoids,\nwhich are amino acid polymers produced under thermal stress conditions,\nhave demonstrated promise as materials that are compatible with living\norganisms and can be used in a wide range of applications. We explore\nthe potential of using proteinoids for the optical stimulation and\ndetection of English alphabet characters. We performed experiments\nto quantify the potential and period statistics of proteinoids under\noptical stimulation corresponding to individual alphabet characters.\nFor each character, we recorded the potential statistics, which included\namplitude quartiles, mean, maximum, minimum, and standard deviation.\nAdditionally, the statistical measures of the period, including quartiles,\nmean, maximum, minimum, and standard deviation, were also recorded.\nThe data gathered unveil unique patterns and features for each alphabet\ncharacter. The potential and period statistics display fluctuations\nthat can be used for character identification. Characters such as\n‘D’, ‘H’, and ‘L’ exhibit\ngreater amplitude means in comparison to others, showing their distinct\nresponse to optical stimulation. The period data also reveal variations\namong characters, with certain characters exhibiting durations that\nare longer or shorter than others. Our research indicates that proteinoids\nhave the potential to be highly effective unconventional materials\nfor accurately identifying English alphabet symbols using light. Through\nthe analysis of potential and period statistics, we may create recognition\nalgorithms capable of distinguishing characters by their optical response.\nThis technique introduces novel opportunities for biocompatible systems\nthat can recognize characters, and it has promise for applications\nin diverse sectors, including biocomputing and biosensing. Further\nresearch is needed to optimize the proteinoid synthesis process, refine\nthe optical stimulation setup, and create reliable recognition algorithms.\nThe data presented serve as a basis for future research in the domain\nof unconventional computing, especially on abiotic-protein-based computing\ndevices.