2021
DOI: 10.1101/2021.11.18.469175
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Label-free adaptive optics single-molecule localization microscopy for whole animals

Abstract: Specimen-induced aberration has been one of the major factors limiting the imaging depth in single-molecule localization microscopy (SMLM). In this study, we measured the wavefront of intrinsic reflectance signal at the fluorescence emission wavelength to construct a time-gated reflection matrix and find complex tissue aberration without resorting to fluorescence detection. Physically correcting the identified aberration via wavefront shaping with a liquid-crystal spatial light modulator (SLM)enables super-res… Show more

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Cited by 3 publications
(2 citation statements)
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“…In summary, the remote focusing enabled high-resolution whole-cell imaging, particularly in scenarios with high labeling density where large DOF PSF imaging could result in a strong background. With the precise in-situ PSF estimation, it can also be further extended to tissue imaging [37,38]. Although we showed superior performance of remote focusing compared to the whole-cell imaging with large DOF PSF, it is worth noting that there is a balance between the number of focus planes imaged and the number of molecules acquired due to photobleaching.…”
Section: Discussionmentioning
confidence: 88%
“…In summary, the remote focusing enabled high-resolution whole-cell imaging, particularly in scenarios with high labeling density where large DOF PSF imaging could result in a strong background. With the precise in-situ PSF estimation, it can also be further extended to tissue imaging [37,38]. Although we showed superior performance of remote focusing compared to the whole-cell imaging with large DOF PSF, it is worth noting that there is a balance between the number of focus planes imaged and the number of molecules acquired due to photobleaching.…”
Section: Discussionmentioning
confidence: 88%
“…Therefore, in 3D SMLM, in-situ PSF calibration should be combined with active aberration correction. To accomplish sample-induced aberration correction, two distinct approaches have been adopted: the first is based on a wave-front sensor to measure sample-induced aberrations and a DM to compensate for the measured aberration (Park et al, 2021 ); the second on a sensorless approach (Burke et al, 2015 ; Tehrani et al, 2015 ; Mlodzianoski et al, 2018 ; Siemons et al, 2021 ), where the aberrations are minimized by maximizing a metric for the image quality. Both algorithm and metric function should be tailored to an application to avoid non-convergent aberration corrections (Siemons et al, 2021 ) due to the non-convex dependency of the aberrations (Debarre et al, 2007 ; Soloviev, 2020 ).…”
Section: Introductionmentioning
confidence: 99%