scholarly journals Nanodiamonds enable adaptive-optics enhanced, super-resolution, two-photon excitation microscopy

2019 ◽  
Author(s):  
Graeme E. Johnstone ◽  
Gemma S. Cairns ◽  
Brian R. Patton
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Size Range ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Two Photon ◽  
Point Spread ◽  
Photon Excitation ◽  
Spread Function ◽  
Photo Stability

Particles of diamond in the 5 to 100 nm size range, known as nanodiamond, have shown promise as robust fluorophores for optical imaging. We demonstrate here that, due to their photo-stability, they are not only suitable for two-photon imaging, but they allow significant resolution enhancement when combined with computational super-resolution techniques. We observe a resolution of 42.5 nm when processing two-photon images with the Super-Resolution Radial Fluctuations algorithm. We show manipulation of the point-spread function of the microscope using adaptive optics. This demonstrates how the photostability of nanodiamond can also be of use when characterising adaptive optics technologies or testing the resilience of super-resolution or aberration correction algorithms.

scholarly journals Nanodiamonds enable adaptive-optics enhanced, super-resolution, two-photon excitation microscopy

2019 ◽  
Vol 6 (7) ◽  
pp. 190589 ◽  
Author(s):  
Graeme E. Johnstone ◽  
Gemma S. Cairns ◽  
Brian R. Patton
Keyword(s):  
Optical Imaging ◽  
Adaptive Optics ◽  
Point Spread Function ◽  
Size Range ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Two Photon ◽  
Point Spread ◽  
Photon Excitation ◽  
Spread Function

Particles of diamond in the 5–100 nm size range, known as nanodiamond (ND), have shown promise as robust fluorophores for optical imaging. We demonstrate here that, due to their photostability, they are not only suitable for two-photon imaging, but also allow significant resolution enhancement when combined with computational super-resolution techniques. We observe a resolution of 42.5 nm when processing two-photon images with the Super-Resolution Radial Fluctuations algorithm. We show manipulation of the point-spread function of the microscope using adaptive optics. This demonstrates how the photostability of ND can also be of use when characterizing adaptive optics technologies or testing the resilience of super-resolution or aberration correction algorithms.

scholarly journals High-fidelity structured illumination microscopy by point-spread-function engineering

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Gang Wen ◽  
Simin Li ◽  
Linbo Wang ◽  
Xiaohu Chen ◽  
Zhenglong Sun ◽  
...  
Keyword(s):  
Point Spread Function ◽  
Super Resolution ◽  
Reconstruction Algorithm ◽  
High Fidelity ◽  
Structured Illumination ◽  
Structured Illumination Microscopy ◽  
Imaging Tool ◽  
Point Spread ◽  
Spread Function ◽  
Point Spread Function Engineering

AbstractStructured illumination microscopy (SIM) has become a widely used tool for insight into biomedical challenges due to its rapid, long-term, and super-resolution (SR) imaging. However, artifacts that often appear in SIM images have long brought into question its fidelity, and might cause misinterpretation of biological structures. We present HiFi-SIM, a high-fidelity SIM reconstruction algorithm, by engineering the effective point spread function (PSF) into an ideal form. HiFi-SIM can effectively reduce commonly seen artifacts without loss of fine structures and improve the axial sectioning for samples with strong background. In particular, HiFi-SIM is not sensitive to the commonly used PSF and reconstruction parameters; hence, it lowers the requirements for dedicated PSF calibration and complicated parameter adjustment, thus promoting SIM as a daily imaging tool.

Adaptive Optics for Vision: The Eye's Adaptation to Point Spread Function

2003 ◽  
Vol 19 (5) ◽  
Author(s):  
Pablo Artal ◽  
Li Chen ◽  
Enrique J Fernández ◽  
Ben Singer ◽  
Silvestre Manzanera ◽  
...  
Keyword(s):  
Adaptive Optics ◽  
Point Spread Function ◽  
Point Spread ◽  
Spread Function
Sign in / Sign up

Export Citation Format

Share Document