scholarly journals Non-invasive super-resolution imaging through dynamic scattering media

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Dong Wang ◽  
Sujit K. Sahoo ◽  
Xiangwen Zhu ◽  
Giorgio Adamo ◽  
Cuong Dang
Keyword(s):  
Super Resolution ◽  
Biological Tissues ◽  
Point Sources ◽  
Correlation Property ◽  
Scattering Media ◽  
Non Invasive ◽  
Speckle Correlation ◽  
Speckle Patterns ◽  
Resolution Imaging ◽  
Dynamic Scattering

AbstractSuper-resolution imaging has been revolutionizing technical analysis in various fields from biological to physical sciences. However, many objects are hidden by strongly scattering media such as biological tissues that scramble light paths, create speckle patterns and hinder object’s visualization, let alone super-resolution imaging. Here, we demonstrate non-invasive super-resolution imaging through scattering media based on a stochastic optical scattering localization imaging (SOSLI) technique. After capturing multiple speckle patterns of photo-switchable point sources, our computational approach utilizes the speckle correlation property of scattering media to retrieve an image with a 100-nm resolution, an eight-fold enhancement compared to the diffraction limit. More importantly, we demonstrate our SOSLI to do non-invasive super-resolution imaging through not only static scattering media, but also dynamic scattering media with strong decorrelation such as biological tissues. Our approach paves the way to non-invasively visualize various samples behind scattering media at nanometer levels of detail.

scholarly journals Non-invasive super-resolution imaging through dynamic scattering media

2020 ◽  
Author(s):  
Dong Wang ◽  
Sujit Sahoo ◽  
Xiangwen Zhu ◽  
Giorgio Adamo ◽  
Cuong Dang
Keyword(s):  
Super Resolution ◽  
Stochastic Approach ◽  
Biological Tissues ◽  
Correlation Property ◽  
Scattering Media ◽  
Non Invasive ◽  
Speckle Correlation ◽  
Speckle Patterns ◽  
Resolution Imaging ◽  
Dynamic Scattering

Abstract Super-resolution imaging has been revolutionizing technical analysis in various fields from biological to physical sciences. However, many objects are hidden by strongly scattering media such as biological tissues that scramble light paths, create speckle patterns and hinder object’s visualization, let alone super-resolution imaging. Here, we demonstrate non-invasive super-resolution imaging through scattering media based on a stochastic optical scattering localization imaging (SOSLI) technique. After capturing multiple speckle patterns of photo-switchable emitters, our stochastic approach utilizes the speckle correlation property of scattering media to retrieve an image with 100-nm resolution, eight-fold enhancement compared to the diffraction limit. More importantly, we demonstrate our SOSLI to do non-invasive super-resolution imaging through not only static scattering media, but also dynamic scattering media with strong decorrelation such as biological tissues. Our approach paves the way to non-invasively visualize various samples behind scattering media at unprecedented levels of detail.

scholarly journals Super-resolution imaging of negative-refractive graded-index photonic crystal flat lens

2021 ◽  
Author(s):  
Binming Liang ◽  
Xiao Huang ◽  
Jihong Zheng
Keyword(s):  
Photonic Crystal ◽  
Imaging System ◽  
Super Resolution ◽  
Point Sources ◽  
Image Resolution ◽  
Multiple Point ◽  
Single Image ◽  
Graded Index ◽  
Resolution Imaging ◽  
Flat Lens

Abstract Photonic crystal (PC) not only breaks through the diffraction limit of traditional lenses but also can realize super-resolution imaging. Improving the resolution is the key task of PC imaging. The main work of this paper is to use a graded-index Photonic crystal (GPC) flat lens to improve the image resolution. An air-hole type two-dimensional (2D) GPC structure based on silicon medium is proposed in this paper. Numerical simulations through RSoft reveal that when the medium in the imaging area is air, the full width at half maximum (FWHM) value of a single image reaches 0.362λ. According to the Rayleigh criterion, the images of two point sources 0.57λ apart can also be distinguished. In the imaging system composed of cedar oil and GPC flat lens, the FWHM value of a single image reaches 0.34λ. In addition, the images of multiple point sources 0.49λ apart can still be distinguished.

scholarly journals A Robust Method for Adjustment of Laser Speckle Contrast Imaging during Transcranial Mouse Brain Visualization

Photonics ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 80 ◽  
Author(s):  
Vyacheslav Kalchenko ◽  
Anton Sdobnov ◽  
Igor Meglinski ◽  
Yuri Kuznetsov ◽  
Guillaume Molodij ◽  
...  
Keyword(s):  
Biological Tissues ◽  
Laser Speckle ◽  
Robust Method ◽  
Scattering Media ◽  
Contrast Imaging ◽  
Speckle Contrast ◽  
Non Invasive ◽  
Sagittal Sinus ◽  
Brain Vasculature

Laser speckle imaging (LSI) is a well-known and useful approach for the non-invasive visualization of flows and microcirculation localized in turbid scattering media, including biological tissues (such as brain vasculature, skin capillaries etc.). Despite an extensive use of LSI for brain imaging, the LSI technique has several critical limitations. One of them is associated with inability to resolve a functionality of vessels. This limitation also leads to the systematic error in the quantitative interpretation of values of speckle contrast obtained for different vessel types, such as sagittal sinus, arteries, and veins. Here, utilizing a combined use of LSI and fluorescent intravital microscopy (FIM), we present a simple and robust method to overcome the limitations mentioned above for the LSI approach. The proposed technique provides more relevant, abundant, and valuable information regarding perfusion rate ration between different types of vessels that makes this method highly useful for in vivo brain surgical operations.

scholarly journals Rapid single-wavelength lightsheet localization microscopy for clarified tissue

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Li-An Chu ◽  
Chieh-Han Lu ◽  
Shun-Min Yang ◽  
Yen-Ting Liu ◽  
Kuan-Lin Feng ◽  
...  
Keyword(s):  
Single Molecule ◽  
Super Resolution ◽  
Biological Tissues ◽  
Adult Brain ◽  
Imaging Data ◽  
Transporter Protein ◽  
Index Matching ◽  
Refractive Index Matching ◽  
Nanoscale Imaging ◽  
Resolution Imaging

Abstract Optical super-resolution microscopy allows nanoscale imaging of protein molecules in intact biological tissues. However, it is still challenging to perform large volume super-resolution imaging for entire animal organs. Here we develop a single-wavelength Bessel lightsheet method, optimized for refractive-index matching with clarified specimens to overcome the aberrations encountered in imaging thick tissues. Using spontaneous blinking fluorophores to label proteins of interest, we resolve the morphology of most, if not all, dopaminergic neurons in the whole adult brain (3.64 × 107 µm3) of Drosophila melanogaster at the nanometer scale with high imaging speed (436 µm3 per second) for localization. Quantitative single-molecule localization reveals the subcellular distribution of a monoamine transporter protein in the axons of a single, identified serotonergic Dorsal Paired Medial (DPM) neuron. Large datasets are obtained from imaging one brain per day to provide a robust statistical analysis of these imaging data.

Scalable non-invasive imaging through dynamic scattering media at low photon flux

2021 ◽  
Vol 144 ◽  
pp. 106641
Author(s):  
Yiwei Sun ◽  
Xiaoyan Wu ◽  
Yuanyi Zheng ◽  
Jianping Fan ◽  
Guihua Zeng
Keyword(s):  
Photon Flux ◽  
Scattering Media ◽  
Non Invasive ◽  
Dynamic Scattering

scholarly journals Lanthanide-Doped Upconversion Nanoparticles for Super-Resolution Microscopy

2021 ◽  
Vol 8 ◽  
Author(s):  
Hao Dong ◽  
Ling-Dong Sun ◽  
Chun-Hua Yan
Keyword(s):  
Cell Biology ◽  
Organic Dyes ◽  
Energy Levels ◽  
Super Resolution ◽  
Upconversion Nanoparticles ◽  
Non Invasive ◽  
Optimal Resolution ◽  
Resolution Imaging ◽  
Anti Stokes ◽  
Super Resolution Microscopy

Super-resolution microscopy offers a non-invasive and real-time tool for probing the subcellular structures and activities on nanometer precision. Exploring adequate luminescent probes is a great concern for acquiring higher-resolution image. Benefiting from the atomic-like transitions among real energy levels, lanthanide-doped upconversion nanoparticles are featured by unique optical properties including excellent photostability, large anti-Stokes shifts, multicolor narrowband emissions, tunable emission lifetimes, etc. The past few years have witnessed the development of upconversion nanoparticles as probes for super-resolution imaging studies. To date, the optimal resolution reached 28 nm (λ/36) for single nanoparticles and 82 nm (λ/12) for cytoskeleton structures with upconversion nanoparticles. Compared with conventional probes such as organic dyes and quantum dots, upconversion nanoparticle-related super-resolution microscopy is still in the preliminary stage, and both opportunities and challenges exist. In this perspective article, we summarized the recent advances of upconversion nanoparticles for super-resolution microscopy and projected the future directions of this emerging field. This perspective article should be enlightening for designing efficient upconversion nanoprobes for super-resolution imaging and promote the development of upconversion nanoprobes for cell biology applications.

Imaging through dynamic scattering media with stitched speckle patterns

2020 ◽  
Vol 18 (4) ◽  
pp. 042604
Author(s):  
Xin Wang ◽  
Honglin Liu ◽  
Meijun Chen ◽  
Zhentao Liu ◽  
Shensheng Han
Keyword(s):  
Scattering Media ◽  
Speckle Patterns ◽  
Dynamic Scattering

Incoherent, non-invasive and non-scanning superoscillation-based microscope for super-resolution imaging

2020 ◽  
Vol 463 ◽  
pp. 125445 ◽  
Author(s):  
Qingkun Xie ◽  
Yanru Jiang ◽  
Jian Liang ◽  
Enshi Qu ◽  
Liyong Ren
Keyword(s):  
Super Resolution ◽  
Non Invasive ◽  
Resolution Imaging

scholarly journals Autoencoder based blind source separation for photoacoustic resolution enhancement

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Matan Benyamin ◽  
Hadar Genish ◽  
Ran Califa ◽  
Lauren Wolbromsky ◽  
Michal Ganani ◽  
...  
Keyword(s):  
Photoacoustic Imaging ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Optical Excitation ◽  
Biological Tissues ◽  
General Idea ◽  
Acoustic Response ◽  
Depth Imaging ◽  
Resolution Imaging ◽  
Novel Concept

AbstractPhotoacoustics is a promising technique for in-depth imaging of biological tissues. However, the lateral resolution of photoacoustic imaging is limited by size of the optical excitation spot, and therefore by light diffraction and scattering. Several super-resolution approaches, among which methods based on localization of labels and particles, have been suggested, presenting promising but limited solutions. This work demonstrates a novel concept for extended-resolution imaging based on separation and localization of multiple sub-pixel absorbers, each characterized by a distinct acoustic response. Sparse autoencoder algorithm is used to blindly decompose the acoustic signal into its various sources and resolve sub-pixel features. This method can be used independently or as a combination with other super-resolution techniques to gain further resolution enhancement and may also be extended to other imaging schemes. In this paper, the general idea is presented in details and experimentally demonstrated.

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