"Single Frame Super-Resolution: Is it a Myth?”

Traditional optical microscopy has long been limited by the diffraction barrier in achieving high spatial resolution. While super-resolved fluorescence microscopy has achieved subdiffraction resolution using transient fluorophore states, computational methods have faced practical limitations, largely due to dependencies on accurate prior knowledge and signal-to-noise constraints. This study explores the mathematical properties of the Point Spread Function, emphasizing its role as a complex analytic function subject to power series decomposition, thereby offering a means for mitigating diffraction-induced distortions. We introduce the Mean Shift Super Resolution (MSSR) microscopy principle, a computational approach that enables recovery of object details beyond the diffraction limit by exploring the space of the second derivatives of the diffraction limited image. MSSR is effective across varying fluorophore densities, is optical setup-agnostic, and works with both isolated and time-series images. It surpasses existing super-resolution microscopy methods in denoising performance and attains a spatial resolution of 40 nm under optimized conditions. Its adaptability positions MSSR as a versatile tool for multidimensional and live cell imaging applications.

Transmisión en vivo: bit.ly/YouTube_ICF

Participante: Dr. Adan Oswaldo Guerrero Cardenas

Institución: Instituto de Biotecnología, UNAM

Fecha y hora: Este evento terminó el Miércoles, 10 de Enero de 2024