Ratiometric 4Pi single-molecule localization with optimal resolution and color assignment.

Chen, J; Yao, B; Yang, Z; Shi, W; Luo, T; Xi, P; Jin, D; Li, Y

Ratiometric 4Pi single-molecule localization with optimal resolution and color assignment.

Chen, J Yao, B Yang, Z Shi, W Luo, T Xi, P Jin, D

Li, Y

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Publisher:: OPTICAL SOC AMER
Publication Type:: Journal Article
Citation:: Opt Lett, 2022, 47, (2), pp. 325-328
Issue Date:: 2022-01-15

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Field	Value	Language
dc.contributor.author	Chen, J
dc.contributor.author	Yao, B
dc.contributor.author	Yang, Z
dc.contributor.author	Shi, W
dc.contributor.author	Luo, T
dc.contributor.author	Xi, P
dc.contributor.author	Jin, D https://orcid.org/0000-0003-1046-2666
dc.contributor.author	Li, Y
dc.date.accessioned	2023-07-10T03:53:45Z
dc.date.available	2023-07-10T03:53:45Z
dc.date.issued	2022-01-15
dc.identifier.citation	Opt Lett, 2022, 47, (2), pp. 325-328
dc.identifier.issn	0146-9592
dc.identifier.issn	1539-4794
dc.identifier.uri	http://hdl.handle.net/10453/171397
dc.description.abstract	4Pi single-molecule localization microscopy (4Pi-SMLM) with two opposing objectives achieves sub-10 nm isotropic 3D resolution when as few as 250 photons are collected by each objective. Here, we develop a new ratiometric multi-color imaging strategy for 4Pi-SMLM that employs the intrinsic multi-phase interference intensity without increasing the complexity of the system and achieves both optimal 3D resolution and color separation. By partially linking the photon parameters between channels with an interference difference of π during global fitting of the multi-channel 4Pi single-molecule data, we show via simulated data that the loss of localization precision is minimal compared with the theoretical minimum uncertainty, the Cramer-Rao lower bound.
dc.format	Print
dc.language	eng
dc.publisher	OPTICAL SOC AMER
dc.relation.ispartof	Opt Lett
dc.relation.isbasedon	10.1364/OL.446987
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0205 Optical Physics, 0206 Quantum Physics, 0906 Electrical and Electronic Engineering
dc.subject.classification	Optics
dc.subject.classification	4006 Communications engineering
dc.subject.classification	4009 Electronics, sensors and digital hardware
dc.subject.classification	5102 Atomic, molecular and optical physics
dc.subject.mesh	Nanotechnology
dc.subject.mesh	Single Molecule Imaging
dc.subject.mesh	Nanotechnology
dc.subject.mesh	Single Molecule Imaging
dc.subject.mesh	Nanotechnology
dc.subject.mesh	Single Molecule Imaging
dc.title	Ratiometric 4Pi single-molecule localization with optimal resolution and color assignment.
dc.type	Journal Article
utslib.citation.volume	47
utslib.location.activity	United States
utslib.for	0205 Optical Physics
utslib.for	0206 Quantum Physics
utslib.for	0906 Electrical and Electronic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - IBMD - Initiative for Biomedical Devices
utslib.copyright.status	closed_access	*
dc.date.updated	2023-07-10T03:53:43Z
pubs.issue	2
pubs.publication-status	Published
pubs.volume	47
utslib.citation.issue	2

Abstract:

4Pi single-molecule localization microscopy (4Pi-SMLM) with two opposing objectives achieves sub-10 nm isotropic 3D resolution when as few as 250 photons are collected by each objective. Here, we develop a new ratiometric multi-color imaging strategy for 4Pi-SMLM that employs the intrinsic multi-phase interference intensity without increasing the complexity of the system and achieves both optimal 3D resolution and color separation. By partially linking the photon parameters between channels with an interference difference of π during global fitting of the multi-channel 4Pi single-molecule data, we show via simulated data that the loss of localization precision is minimal compared with the theoretical minimum uncertainty, the Cramer-Rao lower bound.

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http://hdl.handle.net/10453/171397