Quantitative mapping and minimization of super-resolution optical imaging artifacts

Siân Culley (1, 2) , David Albrecht (1) , Caron Jacobs (1) , Pedro Matos Pereira (1, 2) , Christophe Leterrier (3) , Jason Mercer (1) , Ricardo Henriques (1, 2)

1 Laboratory for Molecular Cell Biology
2 The Francis Crick Institute [London]
3 INP - Institut de neurophysiopathologie

Super-resolution microscopy depends on steps that can contribute to the formation of image artifacts, leading to misinterpretation of biological information. We present NanoJ-SQUIRREL, an ImageJ-based analytical approach that provides quantitative assessment of super-resolution image quality. By comparing diffraction-limited images and super-resolution equivalents of the same acquisition volume, this approach generates a quantitative map of super-resolution defects and can guide researchers in optimizing imaging parameters.

Domaines: Neurobiologie; Imagerie

Siân Culley, David Albrecht, Caron Jacobs, Pedro Matos Pereira, Christophe Leterrier, et al.. Quantitative mapping and minimization of super-resolution optical imaging artifacts. Nature Methods, 2018, 15 (4), pp.263-266. ⟨10.1038/nmeth.4605⟩. ⟨hal-01736919⟩