Improving spatial resolution of confocal Raman microscopy by super-resolution image restoration

Abstract

A new super-resolution image restoration confocal Raman microscopy method (SRIR-RAMAN) is proposed for improving the spatial resolution of confocal Raman microscopy. This method can recover the lost high spatial frequency of the confocal Raman microscopy by using Poisson-MAP super-resolution imaging restoration, thereby improving the spatial resolution of confocal Raman microscopy and realizing its super-resolution imaging. Simulation analyses and experimental results indicate that the spatial resolution of SRIR-RAMAN can be improved by 65% to achieve 200 nm with the same confocal Raman microscopy system. This method can provide a new tool for high spatial resolution micro-probe structure detection in physical chemistry, materials science, biomedical science and other areas.

Sub-Micron Spatial Resolution in Far-Field Raman Imaging Using Positivity-Constrained Super-Resolution

“…In digital image restoration, resolution is usually seen as the level of detail contained in an image and often characterized by the sharpness of features in the image, a point of view that has been adopted in previous work on SRIR in Raman imaging. [3][4][5][6] Resolution in microscopy, on the other hand, is defined by the minimal separation between two objects necessary to observe them as distinct objects. Super-resolution image reconstruction results in Raman imaging have not been analyzed from that perspective and while the two points of view are somewhat related, they are not strictly identical.…”

High Correlation Between Structure Development and Chemical Variation During Biofilm Formation by Vibrio parahaemolyticus

“…CLSM together with image analysis software can be used to quantitatively evaluate structural characteristics of biofilms ( Yun et al, 2006 ; Mosquera-Fernandez et al, 2016 ). Raman microscopy (RM) is one of the spectroscopic techniques which had been widely used in physical chemistry, materials science, biomedical science ( Li et al, 2014 ; Butler et al, 2016 ; Cui et al, 2016 ). This promising approach provides the potential for revealing chemical composition and conformation which can be coupled to the spatial resolution of optical microscope in μm range and requires none or limited sample preparation ( Ivleva et al, 2008 , 2009 ).…”

Nanoscale Spatial Resolution in Far-Field Raman Imaging Using Hyperspectral Unmixing in Combination with Positivity Constrained Super-Resolution

“…The power of the approach and methodology were demonstrated on Raman spectroscopic data from a bundle of nanowires made of poly-(3,4 ethylenedioxythiophene) (PEDOT). 25 The HyRes methodology of this paper resulted in an order of magnitude better spatial resolution than past works on SRIR of Raman data 9–13 and a 25× enhanced spatial resolution when compared to the raw far-field data.…”

“…The intra-component achievable resolution is unaffected by HU and thus remains limited by the single channel image SRIR bounds reported previously. 9–12…”