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Quantitative comparison of spinning disk geometries for PAINT based super-resolution microscopy.
Sirinakis, George; Allgeyer, Edward S; Cheng, Jinmei; St Johnston, Daniel.
Affiliation
  • Sirinakis G; The Gurdon Institute & the Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.
  • Allgeyer ES; gs519@cam.ac.uk.
  • Cheng J; The Gurdon Institute & the Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.
  • St Johnston D; The Gurdon Institute & the Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.
Biomed Opt Express ; 13(7): 3773-3785, 2022 Jul 01.
Article in En | MEDLINE | ID: mdl-35991926
PAINT methods that use DNA- or protein- based exchangeable probes have become popular for super-resolution imaging and have been combined with spinning disk confocal microscopy for imaging thicker samples. However, the widely available spinning disks used for routine biological imaging are not optimized for PAINT-based applications and may compromise resolution and imaging speed. Here, we use Drosophila egg chambers in the presence of the actin-binding peptide Lifeact to study the performance of four different spinning disk geometries. We find that disk geometries with higher light collection efficiency perform better for PAINT-based super-resolution imaging due to increased photon numbers and, subsequently, detection of more blinking events.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomed Opt Express Year: 2022 Document type: Article Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomed Opt Express Year: 2022 Document type: Article Country of publication: United States