Novel approach for label free super-resolution imaging in far field

Scientific Reports
Sergey A AlexandrovMartin Leahy

Abstract

Progress in the emerging areas of science and technology, such as bio- and nano-technologies, depends on development of corresponding techniques for imaging and probing the structures with high resolution. Recently, the far field diffraction resolution limit in the optical range has been circumvented and different methods of super-resolution optical microscopy have been developed. The importance of this breakthrough achievement has been recognized by Nobel Prize for Chemistry in 2014. However, the fluorescence based super-resolution techniques only function with fluorescent molecules (most of which are toxic and can destroy or lead to artificial results in living biological objects) and suffer from photobleaching. Here we show a new way to break the diffraction resolution limit, which is based on nano-sensitivity to internal structure. Instead of conventional image formation as 2D intensity distribution, in our approach images are formed as a result of comparison of the axial spatial frequency profiles, reconstructed for each image point. The proposed approach dramatically increases the lateral resolution even in presence of noise and allows objects to be imaged in their natural state, without any labels.

References

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Sep 3, 2011·Optics Letters·Sergey A AlexandrovYang Liu
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Apr 3, 2013·Optics Express·Shikhar UttamYang Liu
Dec 11, 2013·Optics Letters·Philipp von Olshausen, Alexander Rohrbach
Mar 7, 2014·Nanoscale·Sergey A AlexandrovMartin Leahy
Jun 24, 2014·Scientific Reports·Anthony BarsicRafael Piestun

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Citations

Apr 21, 2016·Stem Cell Research & Therapy·Martin LeahyPeter Dockery
Mar 24, 2018·Journal of Biophotonics·Sergey AlexandrovMartin Leahy
Nov 7, 2019·Journal of Microscopy·Yuchen ChenX U Liu
Oct 6, 2020·Biomedical Optics Express·Cerine LalMartin Leahy
Mar 10, 2016··Sergey A. AlexandrovFrancesca Boccafoschi

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Methods Mentioned

BETA
Scanning
atomic force microscopy
super-resolution microscopy

Software Mentioned

srSESF

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