Dominic A. Helmerich

This paper introduces programmable protein standards for benchmarking sub-10-nm fluorescence microscopy, demonstrating their utility in assessing fluorophore interactions and imaging performance.

The paper combines expansion microscopy with two-dye-imager DNA-PAINT to achieve nanometer-resolution 3D imaging of expanded cells.

This paper introduces FluoroCubes as fiducial markers for traction force microscopy, enabling high-resolution force mapping with improved sensitivity and compatibility with TIRF microscopy.

This paper introduces a single-step expansion microscopy method enabling SMLM with spontaneously blinking dyes in expanded samples, achieving nanometer-resolution imaging of cellular structures.

This paper develops a geometric deep learning framework for improved particle averaging in single-molecule localization microscopy, achieving comparable results to state-of-the-art methods without explicit 3D alignment.

NanTex enables multiplexing and phenotyping of organelles using nanotexture descriptors from single-channel super-resolution microscopy data across multiple modalities.

The paper develops an optimized Ex-dSTORM method to resolve endogenous protein assemblies with nanometer precision in cells.

The paper introduces ReCSAI, a compressed sensing neural network for confocal dSTORM that improves reconstruction speed and accuracy by combining deep learning and compressed sensing.