Fast denoising and lossless spectrum extraction in stimulated Raman scattering microscopy

Stimulated Raman scattering (SRS) microscopy is a nonlinear optical imaging method for visualizing chemical content based on molecular vibrational bonds. However, the imaging speed and sensitivity are currently limited by the noise of the light beam probing the Raman process. In this paper, we present a fast non-average denoising and high-precision Raman shift extraction method, based on a self-reinforcing signal-to-noise ratio (SNR) enhancement algorithm, for SRS spectroscopy and microscopy. We compare the results of this method with the filtering methods and the reported experimental methods to demonstrate its high efficiency and high precision in spectral denoising, Raman peak extraction and image quality improvement. We demonstrate a maximum SNR enhancement of 10.3 dB in fixed tissue imaging and 11.9 dB in vivo imaging. This method reduces the cost and complexity of the SRS system and allows for high-quality SRS imaging without use of special laser, complicated system design and Raman tags.     

Fingerprint‐to‐CH stretch continuously tunable high spectral resolution stimulated Raman scattering microscope

Stimulated Raman scattering (SRS) microscopy is a label‐free method generating images based on chemical contrast within samples, and has already shown its great potential for high‐sensitivity and fast imaging of biological specimens. The capability of SRS to collect molecular vibrational signatures in bio‐samples, coupled with the availability of powerful statistical analysis methods, allows quantitative chemical imaging of live cells with sub‐cellular resolution. This application has substantially driven the development of new SRS microscopy platforms. Indeed, in recent years, there has been a constant effort on devising configurations able to rapidly collect Raman spectra from samples over a wide vibrational spectral range, as needed for quantitative analysis by using chemometric methods. In this paper, an SRS microscope which exploits spectral shaping by a narrowband and rapidly tunable acousto‐optical tunable filter (AOTF) is presented. This microscope enables spectral scanning from the Raman fingerprint region to the Carbon‐Hydrogen (CH)‐stretch region without any modification of the optical setup. Moreover, it features also a high enough spectral resolution to allow resolving Raman peaks in the crowded fingerprint region. Finally, application of the developed SRS microscope to broadband hyperspectral imaging of biological samples over a large spectral range from 800 to 3600 cm^?1, is demonstrated.     

The application of anti‐ESAT‐6 monoclonal antibody fluorescent probe in ex vivo near‐infrared fluorescence imaging in mice with pulmonary tuberculosis

Here, we aimed to assess the feasibility of anti‐ESAT‐6 monoclonal antibody (mAb) coupling with IR783 and rhodamine fluorescent probe in the detection of ESAT‐6 expression in tuberculosis tissue of mice using near‐infrared fluorescence imaging. IR783 and rhodamine were conjugated to the anti‐ESAT‐6 mAb or IgG. Mice in the experimental group were injected with fluorescence‐labeled mAb probe, and mice in the control group were injected with fluorescence‐labeled non‐specific IgG antibody. Twenty‐four hours later, the lung tissue of mice was examined using ex vivo near‐infrared fluorescence imaging. In addition, the contrast‐to‐noise ratio (CNR) was calculated by measuring the signal intensities of the pulmonary lesions, normal lung tissue and background noise. The frozen lung tissue section was examined under fluorescence microscopy and compared with hemoxylin and eosin (HE) staining. The ex vivo near‐infrared fluorescence imaging showed that the fluorescence signal in the lung tuberculosis lesions in the experimental group was significantly enhanced, whereas there was only a weak fluorescence signal or even no fluorescence signal in the control group. CNR values were 64.40 ± 7.02 (n = 6) and 8.75 ± 3.87 (n = 6), respectively (t = 17.01, p < 0.001). The fluorescence accumulation distribution detected under fluorescence microscopy was consistent with HE staining of the tuberculosis region. In conclusion, anti‐ESAT‐6 mAb fluorescent probe could target and be applied in specific ex vivo imaging of mice tuberculosis, and may be of further use in tuberculosis in living mice. Copyright © 2013 John Wiley & Sons, Ltd.     

Enhancement of imaging depth in turbid media using a wide area detector

The depth of two‐photon fluorescence imaging in turbid media can be significantly enhanced by the use of the here described fluorescence detection method that allows to efficiently collect scattered fluorescence photons from a wide area of the turbid sample. By using this detector we were able to perform imaging of turbid samples, simulating brain tissue, at depths up to 3 mm, where the two‐photon induced fluorescence signal is too weak to be detected by means used in conventional two‐photon microscopy. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Rapid acquisition of Raman spectral maps through minimal sampling: applications in tissue imaging

A method is presented for acquiring high‐spatial‐resolution spectral maps, in particular for Raman micro‐spectroscopy (RMS), by selectively sampling the spatial features of interest and interpolating the results. This method achieves up to 30 times reduction in the sampling time compared to raster‐scanning, the resulting images have excellent correlation with conventional histopathological staining, and are achieved with sufficient spectral signal‐to‐noise ratio to identify individual tissue structures. The benefits of this selective sampling method are not limited to tissue imaging however; it is expected that the method may be applied to other techniques which employ point‐by‐point mapping of large substrates. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Signal generation and Raman‐resonant imaging by non‐degenerate four‐wave mixing under tight focusing conditions

The authors demonstrate Raman‐resonant imaging based on the simultaneous generation of several nonlinear frequency mixing processes resulting from a 3‐color coherent anti‐Stokes Raman scattering (CARS) experiment. The interaction of three coincident short‐pulsed laser beams simultaneously generates both 2‐color (degenerate) CARS and 3‐color (non‐degenerate) CARS signals, which are collected and characterized spectroscopically – allowing for resonant, doubly‐resonant, and non‐resonant contrast mechanisms. Images obtained from both 2‐color and 3‐color CARS signals are compared and found to provide complementary information. The 3‐color CARS microscopy scheme provides a versatile multiplexed modality for biological imaging, which may extend the capabilities of label‐free non‐linear microscopy, e.g. by probing multiple Raman resonances. (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Interpreting CARS images of tissue within the C–H‐stretching region

Single band coherent anti‐Stokes Raman scattering (CARS) microscopy is one of the fastest implementation of nonlinear vibrational imaging allowing for video‐rate image acquisition of tissue. This is due to the large Raman signal in the C—H‐stretching region. However, the chemical specificity of such images is conventionally assumed to be low. Nonetheless, CARS imaging within the C—H‐stretching region enables detection of single cells and nuclei, which allows for histopathologic grading of tissue. Relevant information such as nucleus to cytoplasm ratio, cell density, nucleus size and shape is extracted from CARS images by innovative image processing procedures. In this contribution CARS image contrast within the C—H‐stretching region is interpreted by direct comparison with Raman imaging and correlated to the tissue composition justifying the use of CARS imaging in this wavenumber region for biomedical applications. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Real‐time mid‐infrared imaging of living microorganisms

The speed and efficiency of quantum cascade laser‐based mid‐infrared microspectroscopy are demonstrated using two different model organisms as examples. For the slowly moving Amoeba proteus, a quantum cascade laser is tuned over the wavelength range of 7.6 µm to 8.6 µm (wavenumbers 1320 cm^–1 and 1160 cm^–1, respectively). The recording of a hyperspectral image takes 11.3 s whereby an average signal‐to‐noise ratio of 29 is achieved. The limits of time resolution are tested by imaging the fast moving Caenorhabditis elegans at a discrete wavenumber of 1265 cm^–1. Mid‐infrared imaging is performed with the 640 × 480 pixel video graphics array (VGA) standard and at a full‐frame time resolution of 0.02 s (i.e. well above the most common frame rate standards). An average signal‐to‐noise ratio of 16 is obtained. To the best of our knowledge, these findings constitute the first mid‐infrared imaging of living organisms at VGA standard and video frame rate.

     

Origin of improved depth penetration in dual‐axis optical coherence tomography: a Monte Carlo study

Recent studies have demonstrated that extended imaging depth can be achieved using dual‐axis optical coherence tomography (DA‐OCT). By illuminating and collecting at an oblique angle, multiple forward scattered photons from large probing depths are preferentially detected. However, the mechanism behind the enhancement of imaging depth needs further illumination. Here, the signal of a DA‐OCT system is studied using a Monte Carlo simulation. We modeled light transport in tissue and recorded the spatial and angular distribution of photons exiting the tissue surface. Results indicate that the spatial separation and offset angle created by the non‐telecentric scanning configuration promote the collection of more deeply propagating photons than conventional on‐axis OCT.      

Assessing in vitro stem‐cell function and tracking engraftment of stem cells in ischaemic hearts by using novel iRFP gene labelling

Near‐infrared fluorescence (NIRF) imaging by using infrared fluorescent protein (iRFP) gene labelling is a novel technology with potential value for in vivo applications. In this study, we expressed iRFP in mouse cardiac progenitor cells (CPC) by lentiviral vector and demonstrated that the iRFP‐labelled CPC (CPC^iRFP) can be detected by flow cytometry and fluorescent microscopy. We observed a linear correlation in vitro between cell numbers and infrared signal intensity by using the multiSpectral imaging system. CPC^iRFP injected into the non‐ischaemic mouse hindlimb were also readily detected by whole‐animal NIRF imaging. We then compared iRFP against green fluorescent protein (GFP) for tracking survival of engrafted CPC in mouse ischaemic heart tissue. GFP‐labelled CPC (CPC^GFP) or CPC labelled with both iRFP and GFP (CPC^{iRFP GFP}) were injected intramyocardially into mouse hearts after infarction. Three days after cell transplantation, a strong NIRF signal was detected in hearts into which CPC^{iRFP GFP}, but not CPC^GFP, were transplanted. Furthermore, iRFP fluorescence from engrafted CPC^{iRFP GFP} was detected in tissue sections by confocal microscopy. In conclusion, the iRFP‐labelling system provides a valuable molecular imaging tool to track the fate of transplanted progenitor cells in vivo.     

Visualizing astrocytes in the deep mouse brain in vivo

Astrocytes play a key role in the central nervous system. However, methods of visualizing astrocytes in the deep brain in vivo have been lacking. 3‐photon fluorescence imaging of astrocytes labeled by sulforhodamine 101 (SR101) is demonstrated in deep mouse brain in vivo. Excitation wavelength selection was guided by wavelength‐dependent 3‐photon action cross section (ησ ₃) measurement of SR101. 3‐photon fluorescence imaging of the SR101‐labeled vasculature enabled an imaging depth of 1340‐μm into the mouse brain. This justifies the deep imaging capability of the technique and indicates that the imaging depth is not determined by the signal‐to‐background ratio limit encountered in 2‐photon fluorescence imaging. Visualization of astrocytes 910 μm below the surface of the mouse brain in vivo is demonstrated, 30% deeper than that using 2‐photon fluorescence microscopy. Through quantitative comparison of the signal difference between the SR101‐labeled blood vessels and astrocytes, the challenges of visualizing astrocytes below the white matter is further elucidated.      

Enhancement of optical coherence microscopy in turbid media by an optical parametric amplifier

We report the enhancement in imaging performance of a spectral‐domain optical coherence microscope (OCM) in turbid media by incorporating an optical parametric amplifier (OPA). The OPA provides a high level of optical gain to the sample arm, thereby improving the signal‐to‐noise ratio of the OCM by a factor of up to 15 dB. A unique nonlinear confocal gate is automatically formed in the OPA, which enables selective amplification of singly scattered (ballistic) photons against the multiply‐scattered light background. Simultaneous enhancement in both imaging depth and spatial resolution in imaging microstructures in highly light‐scattering media are demonstrated with the combined OPA‐OCM setup.

Typical OCM inteferograms (left) and images (right) without and with OPA.     

Vibrational two-photon microscopy for tissue imaging: Short-wave infrared surface-enhanced resonance hyper-Raman scattering

Multiphoton microscopy using short-wave infrared (SWIR) radiation offers nondestructive and high-resolution imaging through tissue. Two-photon fluorescence (TPF), for example, is commonly employed to increase the penetration depth and spatial resolution of SWIR imaging, but the broad spectral peaks limit its multiplexing capabilities. Hyper-Raman scattering, the vibrational analog of TPF, yields spectral features on the order of 20 cm^?1 and reporter-functionalized noble metal nanoparticles (NPs) provide a platform for both hyper-Raman signal enhancement and selective targeting in biological media. Herein we report the first tissue imaging study employing surface-enhanced resonance hyper-Raman scattering (SERHRS), the two-photon analog of surface-enhanced resonance Raman scattering. Specifically, we employ multicore gold-silica NPs (Au@SiO₂ NPs) functionalized with a near infrared-resonant cyanine dye, 3,3′-diethylthiatricarbocyanine iodide as a SERHRS reporter. SWIR SERHRS spectra are efficiently acquired from mouse spleen tissue. SWIR SERHRS combines two-photon imaging advantages with narrow vibrational peak widths, presenting future applications of multitargeted bioimaging.     

Chemico‐mechanical imaging of Barrett's oesophagus

Barrett's oesophagus is a condition characterized by a change in the lining of the oesophagus that markedly increases the risk of adenocarcinoma. We demonstrate the first site‐matched application of Brillouin microscopy, Raman microscopy and FTIR micro‐spectroscopic imaging to ex‐vivo epithelial tissue – Barrett's oesophagus. The mechanical and chemical characters of the epithelium were assessed in histological sections from a patient subjected to endoscopic oesophageal biopsy. Previous studies have shown that both these properties change within the oesophageal wall, owing to the presence of distinct cellular and extracellular constituents which are putatively affected by oesophageal cancer. Brillouin microscopy enables maps of elasticity of the epithelium to be obtained, whilst Raman and FTIR imaging provide ’chemical images' without the need for labelling or staining. This site‐matched approach provides a valuable platform for investigating the structure, biomechanics and composition of complex heterogeneous systems. A combined Brillouin‐Raman device has potential for in‐vivo diagnosis of pathology.

First application of site‐matched micro Brillouin, Raman and FTIR spectroscopic imaging to epithelial tissue in Barrett's oesophagus     

综述: 用于神经活动观测的随机扫描双光子显微成像

双光子荧光显微镜是神经科学研究中的重要观测仪器,但是现有的商品化仪器受限于较低的成像速度,难以满足脑功能研究中毫秒量级神经信号检测的需要．基于声光偏转器的快速随机扫描双光子显微成像技术,有望在保持信噪比的同时提高观测速度．本文综述了这一研究的最新进展,从飞秒激光经过角色散器件后的时空演化理论、声光偏转器的色散补偿方法、随机扫描成像仪器及仪器应用到神经成像时钙信号的识别方法四个方面分别进行介绍,最后分析了随机扫描双光子显微成像技术的发展趋势．这项技术的系统深入研究将为神经活动观测提供一种全新的方法,推动脑科学研究的发展．     

A deep‐learning‐based approach for noise reduction in high‐speed optical coherence Doppler tomography

Optical coherence Doppler tomography (ODT) increasingly attracts attention because of its unprecedented advantages with respect to high contrast, capillary‐level resolution and flow speed quantification. However, the trade‐off between the signal‐to‐noise ratio of ODT images and A‐scan sampling density significantly slows down the imaging speed, constraining its clinical applications. To accelerate ODT imaging, a deep‐learning‐based approach is proposed to suppress the overwhelming phase noise from low‐sampling density. To handle the issue of limited paired training datasets, a generative adversarial network is performed to implicitly learn the distribution underlying Doppler phase noise and to generate the synthetic data. Then a 3D based convolutional neural network is trained and applied for the image denoising. We demonstrate this approach outperforms traditional denoise methods in noise reduction and image details preservation, enabling high speed ODT imaging with low A‐scan sampling density.     

Multiple microscopic approaches demonstrate linkage between chromoplast architecture and carotenoid composition in diverse Capsicum annuum fruit

Increased accumulation of specific carotenoids in plastids through plant breeding or genetic engineering requires an understanding of the limitations that storage sites for these compounds may impose on that accumulation. Here, using Capsicum annuum L. fruit, we demonstrate directly the unique sub‐organellar accumulation sites of specific carotenoids using live cell hyperspectral confocal Raman microscopy. Further, we show that chromoplasts from specific cultivars vary in shape and size, and these structural variations are associated with carotenoid compositional differences. Live‐cell imaging utilizing laser scanning confocal (LSCM) and confocal Raman microscopy, as well as fixed tissue imaging by scanning and transmission electron microscopy (SEM and TEM), all demonstrated morphological differences with high concordance for the measurements across the multiple imaging modalities. These results reveal additional opportunities for genetic controls on fruit color and carotenoid‐based phenotypes.     

Differential Imaging of Biological Structures with Doubly-resonant Coherent Anti-stokes Raman Scattering (CARS)

Coherent Raman imaging techniques have seen a dramatic increase in activity over the past decade due to their promise to enable label-free optical imaging with high molecular specificity ¹. The sensitivity of these techniques, however, is many orders of magnitude weaker than fluorescence, requiring milli-molar molecular concentrations ^1,2. Here, we describe a technique that can enable the detection of weak or low concentrations of Raman-active molecules by amplifying their signal with that obtained from strong or abundant Raman scatterers. The interaction of short pulsed lasers in a biological sample generates a variety of coherent Raman scattering signals, each of which carry unique chemical information about the sample. Typically, only one of these signals, e.g. Coherent Anti-stokes Raman scattering (CARS), is used to generate an image while the others are discarded. However, when these other signals, including 3-color CARS and four-wave mixing (FWM), are collected and compared to the CARS signal, otherwise difficult to detect information can be extracted ³. For example, doubly-resonant CARS (DR-CARS) is the result of the constructive interference between two resonant signals ⁴. We demonstrate how tuning of the three lasers required to produce DR-CARS signals to the 2845 cm^-1 CH stretch vibration in lipids and the 2120 cm^-1 CD stretching vibration of a deuterated molecule (e.g. deuterated sugars, fatty acids, etc.) can be utilized to probe both Raman resonances simultaneously. Under these conditions, in addition to CARS signals from each resonance, a combined DR-CARS signal probing both is also generated. We demonstrate how detecting the difference between the DR-CARS signal and the amplifying signal from an abundant molecule''s vibration can be used to enhance the sensitivity for the weaker signal. We further demonstrate that this approach even extends to applications where both signals are generated from different molecules, such that e.g. using the strong Raman signal of a solvent can enhance the weak Raman signal of a dilute solute.     

Ensemble multivariate analysis to improve identification of articular cartilage disease in noisy Raman spectra

The development of new methods for the early diagnosis of cartilage disease could offer significant improvement in patient care. Raman spectroscopy is an emerging biomedical technology with unique potential to recognize disease tissues, though difficulty in obtaining the samples needed to train a diagnostic and excessive signal noise could slow its development into a clinical tool. In the current report we detail the use of principal component analysis – linear discriminant analysis (PCA‐LDA) on spectra from pairs of materials modeling cartilage disease to create multiple spectral scoring metrics, which could limit the reliance on primary training data for identifying disease in low signal‐to‐noise‐ratio (SNR) Raman spectra. Our proof‐of‐concept experiments show that combinations of these model‐metrics has the potential to improve the classification of low‐SNR Raman spectra from human normal and osteoarthritic (OA) cartilage over a single metric trained with spectra from the same healthy and OA tissues.

Scatter plot showing the PCA‐LDA derived human‐disease‐metric scores versus rat‐model‐metric scores for 7656 low signal‐to‐noise spectra from healthy (blue) and osteoarthritic (red) cartilage. Light vertical and horizontal lines represent the optimized single metric classification boundary. Dark diagonal line represents the classification of boundary resulting from the optimized combination of the two metrics. Abbreviations: er (error rate), PCA‐LDA (principal component analysis – linear discriminant analysis), HOA (human osteoarthritis), HAC (human articular cartilage), RIF (rat injury fibrocartilage), RAC (rat articular cartilage).     

Visibility of microvessels in Optical Coherence Tomography angiography depends on angular orientation

Optical Coherence Tomography angiography (OCTA) is a widespread tool for depth‐resolved imaging of chorioretinal vasculature with single microvessel resolution. To improve the clinical interpretation of OCTA, the conditions affecting visualization of microvessels must be defined. Here we inject a scattering plasma tracer (Intralipid) during OCTA imaging of the anesthetized rat eye. In the retina, we find that interlaminar (vertical) vessels that connect laminae have one‐fourth to one‐third the OCTA red blood cell to tracer (RBC‐to‐tracer) signal ratio of intralaminar (horizontal) vessels. This finding suggests that the OCTA signal from microvessels depends on angular orientation, making vertically‐oriented vessels more difficult to visualize using intrinsic contrast alone. Clinicians should be aware of this potential artifact when interpreting OCTA.