Interpreting Images of Stars and Cells with Different Wavelengths of Light

The process of interpreting images of cells and stars involves reinterpreting imagery and applying false colors and multiple filters to wavelengths. Despite the immense distance and data involved, humans are limited in their interpretation by the narrow wavelength through which they observe. Understanding wavelengths from stars and images of cells requires a nuanced computational and expert approach, as these subtle wavelengths contain deep meaning that has not been fully accessible to humans. Teaching AI to interpret these complexities is a challenging task involving the understanding and application of deep meanings in the images.