A quantitative super-resolution imaging toolbox for diagnosis of motile ciliopathies

Author:

Liu Zhen12ORCID,Nguyen Quynh P. H.12ORCID,Guan Qingxu12ORCID,Albulescu Alexandra12ORCID,Erdman Lauren34ORCID,Mahdaviyeh Yasaman34,Kang Jasmine12ORCID,Ouyang Hong5ORCID,Hegele Richard G.6ORCID,Moraes Theo5ORCID,Goldenberg Anna3478ORCID,Dell Sharon D.910ORCID,Mennella Vito1211ORCID

Affiliation:

1. Biochemistry Department, University of Toronto, Toronto, ON M5S1A8, Canada.

2. Cell Biology Program, Hospital for Sick Children, Toronto, ON M5G0A4, Canada.

3. Genetics and Genome Biology Program, Hospital for Sick Children, Toronto, ON M5G0A4, Canada.

4. Department of Computer Science, University of Toronto, Toronto, ON M5T 3A1, Canada.

5. Translational Medicine Program, Hospital for Sick Children, Toronto, ON M5G0A4, Canada.

6. Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON M5S1A8, Canada.

7. Vector Institute, Toronto, ON M5G 1M1, Canada.

8. Canadian Institute for Advanced Research, Toronto, ON M5G1M1, Canada.

9. Division of Respiratory Medicine, Hospital for Sick Children, Toronto, ON M5G1X8, Canada.

10. Department of Pediatrics, University of Toronto,Toronto, ON M5S1A8 , Canada.

11. Clinical and Experimental Sciences, Faculty of Medicine, National Health Research Institute, Biomedical Research Center, University of Southampton, Southampton SO16 6YD, UK.

Abstract

Quantitative super-resolution imaging improves the diagnosis of primary ciliary dyskinesia.

Funder

National Institutes of Health

National Institute for Health Research

The Hospital For Sick Children

Ontario Lung Association

HSBC Catalyst Grant

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

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