Quantitative mapping and minimization of super-resolution optical imaging artifacts
http://api.archives-ouvertes.fr/search/?fq=halId_s:hal-01736919&fl=title_s,en_title_s,docid,label_s,en_label_s,docType_s,authIdHal_s,halId_s,structId_i,uri_s,keyword_s,en_keyword_s,authLastNameFirstName_s,journalTitle_s,abstract_s,en_abstract_s,producedDate_tdate,producedDateY_i,language_s,fileMain_s&sort=publicationDate_s+desc
authors
document type
ARTabstract
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.
Aix Marseille Université | All rights reserved - Legal notice