Automated discovery of experimental designs in super-resolution microscopy with XLuminA.

ABSTRACT: Driven by human ingenuity and creativity, the discovery of super-resolution techniques, which circumvent the classical diffraction limit of light, represent a leap in optical microscopy. However, the vast space encompassing all possible experimental configurations suggests that some powerful concepts and techniques might have not been discovered yet, and might never be with a human-driven direct design approach. Thus, AI-based exploration techniques could provide enormous benefit, by exploring this space in a fast, unbiased way. We introduce XLuminA, an open-source computational framework developed using JAX, a high-performance computing library in Python. XLuminA offers enhanced computational speed enabled by JAX's accelerated linear algebra compiler (XLA), just-in-time compilation, and i

SUBMITTER: Rodriguez C 

PROVIDER: S-EPMC11632100 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature