Author Affiliations
Abstract
1 Institute for Quantum Science and Technology, College of Science, National University of Defense Technology, Changsha 410073, China
2 Hunan Key Laboratory of Mechanism and Technology of Quantum Information, Changsha 410073, China
3 School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, UK
The 3D location and dipole orientation of light emitters provide essential information in many biological, chemical, and physical systems. Simultaneous acquisition of both information types typically requires pupil engineering for 3D localization and dual-channel polarization splitting for orientation deduction. Here we report a geometric phase helical point spread function for simultaneously estimating the 3D position and dipole orientation of point emitters. It has a compact and simpler optical configuration compared to polarization-splitting techniques and yields achromatic phase modulation in contrast to pupil engineering based on dynamic phase, showing great potential for single-molecule orientation and localization microscopy.
PSF engineering geometric phase single-molecule orientation and localization microscopy Chinese Optics Letters
2024, 22(3): 031103
State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, China
Point spread function (PSF) engineering-based methods to enhance resolution and contrast of optical microscopes have experienced great achievements in the last decades. These techniques include: stimulated emission depletion (STED), time-gated STED (g-STED), ground-state depletion microscopy (GSD), difference confocal microscopy, fluorescence emission difference microscopy (FED), switching laser mode (SLAM), virtual adaptable aperture system (VAAS), etc. Each affords unique strengths in resolution, contrast, speed and expenses. We explored how PSF engineering generally could be used to break the diffraction limitation, and concluded that the common target of PSF engineeringbased methods is to get a sharper PSF. According to their common or distinctive principles to reshape the PSF, we divided all these methods into three categories, nonlinear PSF engineering, linear PSF engineering, and linear-based nonlinear PSF engineering and expounded these methods in classification. Nonlinear effect and linear subtraction is the core techniques described in this paper from the perspective of PSF reconstruction. By comparison, we emphasized each method’s strengths, weaknesses and biologic applications. In the end, we promote an expectation of prospective developing trend for PSF engineering.
super-resolution super-resolution optical imaging optical imaging point spread function (PSF) engineering point spread function (PSF) engineering non-linear effects non-linear effects linear subtraction linear subtraction Frontiers of Optoelectronics
2015, 8(2): 152