"Molecular Scout" .. a new tool that monitor brain diseases with unprecedented accuracy

A research team has developed a new tool that accurately enables the analysis of molecular changes in the brain tissue, and the limited overlap, which makes it ideal for sensitive samples, in addition to use in complex environments. This technique works using a high -precision sin, its width is less than a millimeter, with a party that is not one micron (a thousand parts of the millimeter), making it visible to the naked eye. According to the study published in the journal “Nature Methods”, this sin can be placed in the depths of the brain without causing damage as it relieves nerve tissue, and provides data on its chemical composition, which helps detect molecular changes caused by tumors or other injuries. This tool depends on a technique called ‘vibrating spectral analysis’, which benefits from a phenomenon called ‘Raman effect’, as light is reflected in a different way, based on the chemical composition of molecules, which enables the identification of a distinctive spectral signals for each molecule, which acts as a ‘molecular impression’. Special, vibrating and spectral analysis, a scientific technique used to study the chemical properties of vehicles and particles based on the interactions between light and matter. This technology depends on the exploitation of the vibration properties of the molecules, as the light causes the chemical bonds between the atoms to be shaken within the molecule, which produces distinctive spectral patterns, which represent an ‘impression’ for each molecule. The effect of Raman is a phenomenon that occurs when light interacts with molecules and is spread in an unsuccessful way. The technique of the spectral analysis begins with the direction of a high -resolution burden to the sample to be analyzed, so that this beam interacts with the molecules in the sample, and laser potones turn into the level of vibrating energy of the molecules. Thereafter, the spectral devices record the changes in the distributed light frequency as a result of this reaction, and the resulting spectrum is analyzed to detect the nature of the chemical bonds and its ingredients, providing accurate and comprehensive information on the chemical composition of the material. Experimental models used the technical team to study experimental models of cerebral crop, and the instrument revealed the ability of crops to release cells that can escape traditional surgery. The team also showed the ability of the instrument to distinguish between molecular changes associated with brain injuries and shocks, which pave the way for an accurate diagnosis using artificial intelligence. The team says this technique can be used to analyze the molecular changes associated with different diseases, such as cancer, which helps to understand the development of the disease and early diagnosis, and can also be used to monitor chemical changes in nerve fabrics. The researchers also used the new technology to study brain areas that cause epileptic seizures to brain injuries, and found that the patterns of molecular vibration differ between the areas affected by crops and those affected by injuries. Artificial intelligence techniques and the participating author, Leset Mindtez de la Brida, a researcher at the Spanish “Kakhal” institute, sees that these results open the door for the use of molecular signatures to classify different pathological entities with high accuracy, using algorithms, including artificial intelligence techniques. This technique is characterized by not being -profit as it does not require the sample damage, which makes it ideal for sensitive samples, as it is characterized by the sensitivity and high accuracy, which enables the monitoring of many minor changes in chemical composition, in addition to the use in complex environments, such as living tissues or solid materials. Despite its benefits, technology faces some challenges, the most prominent of which is the sensitivity of the used devices, which need a close environment to avoid any overlap affecting the results, and the high cost of equipment is a hindrance to its wide use, especially in countries, or limited resources. The researchers say that the new technology is a “qualitative shift in the study of the human brain; it allows the tissue to analyze in its normal state without the need to genetically change it as is the case with traditional techniques,” according to study writer, Manuel Valente, the leader of the research team at the Spanish National Cancer Research. “This technique allows any molecular changes in the brain caused by disease, which increases the accuracy of the diagnosis and the study of strokes in an extensive way, without the need to prepare them in advance,” says Valente.