One notable approach employs deep learning frameworks to redefine progressive alignment by gradually assembling sub-alignments, thereby addressing both local and global similarity challenges [1].

ISI's intelligent algorithm for laser alignment optimizes spectroscopy, ensuring precise focus and improved signal-to-noise ratios in challenging conditions.