Label-Free In Vivo Monitoring of Lipid Droplets for Real-Time Assessment of Adipose Activator-Induced Tumor Suppression.

To enhance our comprehension of the fundamental mechanisms driving tumor metabolism and metastasis, it is essential to dynamically monitor intratumoral lipid droplet (LD) and collagen processes in vivo. Traditional LD analysis in tumors predominantly relies on observations of in vitro cells or tissue slices, which unfortunately hinder real-time insights into the dynamic behavior of LDs during in vivo tumor progression. In this study, we developed a dual-modality imaging technique that combines coherent anti-Stokes Raman scattering (CARS) and second-harmonic generation (SHG) microscopy for in vivo monitoring of tumor LDs and collagen alterations, assisted by a murine breast cancer 4T1 cell-based dorsal skinfold window. Specifically, we accomplished real-time observations and quantitative analysis of the LD size, density, and collagen alignment within living tumors through CARS/SHG imaging. Additionally, our findings demonstrate that real-time LD monitoring provides a valuable means of assessing the efficacy of anticancer drugs in vivo. We evaluated the impact of adipose activators on lipid metabolism, oxidative stress, and tumor suppression by monitoring changes in LD size and density. Overall, this study highlights the potential of dual-modality CARS/SHG microscopy as a sensitive and flexible tool for antitumor therapeutic strategies.

Polarization-resolved super-resolution second-harmonic generation imaging based on multifocal structured illumination microscopy.

Polarization-resolved second-harmonic generation (PSHG) microscopy is widely used in investigating the structural and morphological alterations of collagen. However, the resolution of second-harmonic generation (SHG) imaging remains constrained by optical diffraction, resulting in the polarization extraction of collagen characteristics from the average properties of collagen fibers. In this study, multifocal structured illumination microscopy (MSIM) was combined with PSHG to achieve polarization-resolved super-resolution imaging of second-harmonic generation signals. For the first time to our knowledge, periodic structures with an average pitch of 277 nm were observed in mouse tail tendons using optical microscopy, and the orientation angle of fibrils within each period was found to exhibit an alternating arrangement along the axis in a regular pattern.

Super-Resolution Second-Harmonic Generation Imaging with Multifocal Structured Illumination Microscopy.

Second-harmonic generation (SHG) is a noninvasive imaging technique that enables the exploration of physiological structures without the use of an exogenous label. However, traditional SHG imaging is limited by optical diffraction, which restricts the spatial resolution. To break this limitation, we developed a novel approach called multifocal structured illumination microscopy-SHG (MSIM-SHG). By combination of SHG with MSIM, SHG-based super-resolution imaging of material molecules can be achieved, and this SHG super-resolution imaging has a wide range of applications for biological tissues and cells. MSIM-SHG achieved a lateral full width at half-maximum (fwhm) of 147 ± 13 nm and an axial fwhm of 493 ± 47 nm by imaging zinc oxide (ZnO) particles. Furthermore, MSIM-SHG was utilized to quantify collagen fiber alignment in various tissues such as the ovary, muscle, heart, kidney, and cartilage, demonstrating its feasibility for identifying collagen characteristics. MSIM-SHG has potential as a powerful tool for clinical diagnosis and biological research.

In Vivo High-Contrast Biomedical Imaging in the Second Near-Infrared Window Using Ultrabright Rare-Earth Nanoparticles.

Intravital luminescence imaging in the second near-infrared window (NIR-II) enables noninvasive deep-tissue imaging with high spatiotemporal resolution of live mammals because of the properties of suppressed light scattering and diminished autofluorescence in the long-wavelength region. Herein, we present the synthesis of a downconversion luminescence rare-earth nanocrystal with a core-shell-shell structure (NaYF4@NaYbF4:Er,Ce@NaYF4:Ca). The structure efficiently maximized the doping concentration of the sensitizers and increased Er3+ luminescence while preventing cross relaxation. Furthermore, Ce3+ doping in the middle layer efficiently limited the upconversion pathway and increased downconversion by 24-fold to produce bright 1550 nm luminescence under 975 nm excitation. Finally, optimizing the inert shell coating of NaYF4:Ca and liposome encapsulation reduced the luminescence quenching impact by water and improved biological metabolism. Thus, our synthesized biocompatible, ultrabright NIR-II probes provide high contrast and resolution for through-scalp and through-skull luminescence imaging of mice cerebral vasculature without craniotomy as well as imaging of mouse hindlimb microvessels.

Combination of deep learning and 2D CARS figures for identification of amyloid-ß plaques.

In vivo imaging and accurate identification of amyloid-ß (Aß) plaque are crucial in Alzheimer's disease (AD) research. In this work, we propose to combine the coherent anti-Stokes Raman scattering (CARS) microscopy, a powerful detection technology for providing Raman spectra and label-free imaging, with deep learning to distinguish Aß from non-Aß regions in AD mice brains in vivo. The 1D CARS spectra is firstly converted to 2D CARS figures by using two different methods: spectral recurrence plot (SRP) and spectral Gramian angular field (SGAF). This can provide more learnable information to the network, improving the classification precision. We then devise a cross-stage attention network (CSAN) that automatically learns the features of Aß plaques and non-Aß regions by taking advantage of the computational advances in deep learning. Our algorithm yields higher accuracy, precision, sensitivity and specificity than the results of conventional multivariate statistical analysis method and 1D CARS spectra combined with deep learning, demonstrating its competence in identifying Aß plaques. Last but not least, the CSAN framework requires no prior information on the imaging modality and may be applicable to other spectroscopy analytical fields.

Snapshot temporal compressive light-sheet fluorescence microscopy via deep denoising and total variation priors.

We present a snapshot temporal compressive light-sheet fluorescence microscopy system to capture high-speed microscopic scenes with a low-speed camera. A deep denoising network and total variation denoiser are incorporated into a plug-and-play framework to quickly reconstruct 20 high-speed video frames from a short-time measurement. Specifically, we can observe 1,000-frames-per-second (fps) microscopic scenes when the camera works at 50 fps to capture the measurement. The proposed method can potentially be applied to observe cell and tissue motions in thick living biological specimens.

Multifunctional Hollow MnO2 @Porphyrin@Bromelain Nanoplatform for Enhanced Photodynamic Therapy.

Photodynamic therapy (PDT) has been showing great potential in cancer treatment. However, the efficacy of PDT is always limited by the intrinsic hypoxic tumor microenvironment (TME) and the low accumulation efficiency of photosensitizers in tumors. To address the issue, a multifunctional hollow multilayer nanoplatform (H-MnO2 @TPyP@Bro) comprising manganese dioxide, porphyrin (TPyP) and bromelain (Bro), is developed for enhanced photodynamic therapy. MnO2 catalyzes the intracellular hydrogen peroxide (H2 O2 ) to produce oxygen (O2 ), reversing the hypoxic TME in vivo. The generated O2 is converted into singlet oxygen (1 O2 ) by the TPyP shell under near-infrared light, which can inhibit tumor proliferation. Meanwhile, the Bro can digest collagen in the extracellular matrix around the tumor, and can promote the accumulation of H-MnO2 @TPyP@Bro in the deeper tumor tissue, further improving the therapeutic effect of PDT. In addition, MnO2 can react with the overexpressed glutathione in TME to release Mn2+ . Consequently, Mn2+ not only induces chemo-dynamic therapy based on Fenton reaction by converting H2 O2 into hydroxyl radicals, but also activates the Mn2+ -based magnetic resonance imaging. Therefore, the developed H-MnO2 @TPyP@Bro nanoplatform can effectively modulate the unfavorable TME and overcome the limitations of conventional PDT for cancer diagnostic and therapeutic.

Optimized approach for optical sectioning enhancement in multifocal structured illumination microscopy.

Multifocal structured illumination microscopy (MSIM) is the parallelized version of image scanning microscopy (ISM) that is created by using many excitation spots, which provides a two-fold resolution enhancement beyond the diffraction limit with a frequency of 1 Hz per 3D picture, but scattered and out-of-focus light in thick samples degrades MSIM optical sectioning performance. Herein, we introduce a new optical sectioning method in MSIM via illumination fluctuation. The proposed method suppresses the out-of-focus light by taking full advantage of the statistic property of MSIM raw data and has no requirement of changing the system setup or projecting more illumination patterns. Experimental results demonstrate that the method can reduce the out-of-focus light by 7.25 times in optical sectioning image.

Extended-Depth 3D Super-Resolution Imaging Using Probe-Refresh STORM.

Single-molecule localization microscopy methods for super-resolution fluorescence microscopy such as STORM (stochastic optical reconstruction microscopy) are generally limited to thin three-dimensional (3D) sections (≤600 nm) because of photobleaching of molecules outside the focal plane. Although multiple focal planes may be imaged before photobleaching by focusing progressively deeper within the sample, image quality is compromised in this approach because the total number of measurable localizations is divided between detection planes. Here, we solve this problem on fixed samples by developing an imaging method that we call probe-refresh STORM (prSTORM), which allows bleached fluorophores to be straightforwardly replaced with nonbleached fluorophores. We accomplish this by immunostaining the sample with DNA-conjugated antibodies and then reading out their distribution using fluorescently-labeled DNA-reporter oligonucleotides that can be fully replaced in successive rounds of imaging. We demonstrate that prSTORM can acquire 3D images over extended depths without sacrificing the density of localizations at any given plane. We also show that prSTORM can be adapted to obtain high-quality, 3D multichannel images with extended depth that would be challenging or impossible to achieve using established probe methods.

Rapid 3D image scanning microscopy with multi-spot excitation and double-helix point spread function detection.

Refocusing after Scanning using Helical phase engineering (RESCH) microscopy has previously been demonstrated to provide volumetric information from a single 2D scan. However, the practical application of this method is challenging due to its limited image acquisition speed and spatial resolution. Here, we report on a combination of RESCH and multifocal structured illumination microscopy (MSIM) to improve the image acquisition speed and spatial resolution. A phase mask is introduced to modulate the conventional point spread function (PSF) to the double-helix PSF (DH-PSF), which provides volumetric information, and meanwhile, sparse multifocal illumination patterns are generated by a digital micromirror device (DMD) for parallel 3D subdiffractive imaging information acquisition. We also present a strategy for processing the collected raw data with a Richardson-Lucy deconvolution and pixel reassignment algorithm to improve the spatial resolution of the depth estimation and imaging performance. The proposed 3D image scanning microscopy can record 3D specimen information and the corresponding depth information from a single multi-spot 2D planar scan, which ensures faster data acquisition, larger field of view, and higher spatial resolution than RESCH. Finally, we demonstrate the capability of our system with actual experiments.

Resolution improvement of multifocal structured illumination microscopy with sparse Bayesian learning algorithm.

Multifocal structured illumination microscopy (MSIM) is the parallelized version of image scanning microscopy (ISM), which uses multiple diffraction limited spots, instead of a single diffraction limited spot, to increase the imaging speed. By adding pinhole, contraction and deconvolution, a twofold resolution enhancement could be achieved in theory. However, this resolution improvement is difficult to be attained in practice. In this work, without any modification of the experimental setup, we propose to use multiple measurement vector (MMV) model sparse Bayesian learning (MSBL) algorithm (MSIMMSBL) as the reconstruction algorithm of MSIM, which does not need to estimate the illumination patterns but treat the reconstruct process as an MMV signal reconstruction problem. We compare the reconstructed super-resolution images of MSIMMSBL and MSIM by using simulation and experimental raw images. The results prove that by using the MSBL algorithm, the MSIM can obtain a higher than twofold resolution enhancement compared with the wide field image. This outstanding imaging resolution combining with the primary advantages of MSIM, such as the high imaging speed, could promote the application of MSIM in super-resolution microscopy imaging technology.

Fast analysis method for stochastic optical reconstruction microscopy using multiple measurement vector model sparse Bayesian learning.

Compressed sensing (CS) can be used in fluorescence microscopy to improve the temporal resolution of stochastic optical reconstruction microscopy (STORM). Currently, most algorithms used in CS-STORM belong to the single measurement vector (SMV) model, where each super-resolution image is recovered individually from a raw frame, thereby prolonging the computational time. Here, we apply the multiple measurement vector (MMV) model CS algorithm to STORM, wherein all raw images are converted into a matrix and recovered by solving the simultaneous sparse recovery problem. We use the MMV model-based sparse Bayesian learning (SBL) algorithm to reconstitute the raw images of STORM, then compare its imaging resolution and run time with the SMV model CS algorithms. The simulated and experimentally recovered super-resolution images prove that the resolution of MMV model SBL (M-SBL) is comparable with the SMV model algorithm, while the run time is far less and decreases from several hours to several minutes. The high resolution and shorter reconstitution time make M-SBL a promising real-time image reconstruction method for CS-STORM.

Identification and characterization of different tissues in blood vessel by multiplexed fluorescence lifetimes.

Herein, fluorescence lifetime imaging microscopy (FLIM) was used to directly measure eosin fluorescence lifetimes from H&E-stained umbilical artery, and a further utilization of eosin for high-content and multi-target analysis was proposed for the first time. Smooth muscles, collagens, and elastic fibers can be distinguished by eosin fluorescence lifetimes (P < 0.001). Erythrocytes, smooth muscles, elastic fibers, and type I and III collagen from the H&E-stained umbilical artery can be simultaneously identified by multiplexed fluorescence lifetimes of eosin. Use of eosin and lifetime-based separation is a potential method to simplify the special staining for clinicopathologic examination. Multiplexed eosin fluorescence lifetimes may be a newly developed method that can directly determine the relative content of elastic fiber and collagens from the H&E-stained sections. FLIM may have potential applications as an assisted tool in the assessment of the severity and complexity of cardiovascular diseases.

Enhanced Visualization of Hematoxylin and Eosin Stained Pathological Characteristics by Phasor Approach.

The phasor approach to fluorescence lifetime imaging microscopy (FLIM) is used to identify different types of tissues from hematoxylin and eosin (H&E) stained basal cell carcinoma (BCC) sections. The results suggest that working directly on the phasor space with the clustering assignment achieves immunofluorescence like simultaneous five or six-color imaging by using multiplexed fluorescence lifetimes of H&E. The phase approach is of particular effectiveness for enhanced visualization of the abnormal morphology of a suspected nidus. Moreover, the phasor approach to H&E FLIM data can determine the actual paths or the infiltrating trajectories of basophils and immune cells associated with the preneoplastic or neoplastic skin lesions. The integration of the phasor approach with routine histology proved its available value for skin cancer prevention and early detection. We therefore believe that the phasor analysis of H&E tissue sections is an enhanced visualization tool with the potential to simplify the preparation process of special staining and serve as color contrast aided imaging in clinical pathological examination.

Phasor-FLIM as a Screening Tool for the Differential Diagnosis of Actinic Keratosis, Bowen's Disease, and Basal Cell Carcinoma.

The aim of this study was to distinguish basal cell carcinoma (BCC) from actinic keratosis (AK) and Bowen's disease (BD) by fluorescence lifetimes of hematoxylin and eosin (H&E) and phasor analysis. Pseudocolor images of average fluorescence lifetime (τm) exhibited more contrast than conventional bright field and/or fluorescence images of H&E-stained sections. The mean values (µ) of τm distribution (τmµ) in three layers of skin were first explored for comparison with the corresponding layers of AK, BD, and BCC. Moreover, analysis of the H&E fluorescence lifetimes in the phasor space was performed by observing clusters in specific regions of the phasor plot. Various structures in the skin were distinguished. Comparisons of phase distributions from the corresponding layers of skin resulted in quantitative separation and calculation of distinctive parameters including coordinate values, diagonal slopes, and phasor areas. The combination of fluorescence lifetime imaging microscopy (FLIM) and phasor approach (phasor-FLIM) provides a simple method for histopathology analysis and can significantly improve the accuracy of bright field H&E diagnosis. We therefore believe that phasor-FLIM is an aided tool with the potential to provide rapid confirmation of diagnostic criteria and classification of histological types of skin neoplasms.

Super-resolution fluorescent materials: an insight into design and bioimaging applications.

Living organisms are generally composed of complex cellular processes which persist only within their native environments. To enhance our understanding of the biological processes lying within complex milieus, various techniques have been developed. Specifically, the emergence of super-resolution microscopy has generated a renaissance in cell biology by redefining the existing dogma towards nanoscale cell dynamics, single synaptic vesicles, and other complex bioprocesses by overcoming the diffraction-imposed resolution barrier that is associated with conventional microscopy techniques. Besides the typical technical reliance on the optical framework and computational algorithm, super-resolution imaging microscopy resorts largely to fluorescent materials with special photophysical properties, including fluorescent proteins, organic fluorophores and nanomaterials. In this tutorial review article, with the emphasis on cell biology, we summarize the recent developments in fluorescent materials being utilized in various super-resolution techniques with successful integration into bio-imaging applications. Fluorescent proteins (FP) applied in super-resolution microscopy will not be covered herein as it has already been well summarized; additionally, we demonstrate the breadth of opportunities offered from a future perspective.

Sampling grating approach for X-ray differential phase contrast imaging.

Grating-based X-ray differential phase contrast imaging (GDPCI) typically employs the phase-stepping technique to extract an object's phase information. This method requires heavy radiation dosage and is time consuming. Another potential approach is the reverse projection (RP) method, which, however, relies on a synchrotron radiation source to obtain highly sensitive differential phase contrast(DPC) signal. Here, we present an alternative approach that enables the RP method to be used with a conventional X-ray source and substantially improves the sensitivity of the DPC signal by replacing the analyzer grating of the GDPCI with a sampling grating. This development represents a significant step towards obtaining fast and low-dosage DPC images in medical, biological, and industrial applications.

A reversible photoelectrochemical microsensor for dynamically monitoring sulfur dioxide in the epileptic brain.

Epilepsy is considered one of the most prevalent neurological disorders, yet the precise mechanisms underlying its pathogenesis remain inadequately elucidated. Emerging evidence implicates endogenous sulfur dioxide (SO2) in the brain as playing a significant role in epilepsy and associated neuronal apoptosis. Consequently, tracking the dynamic fluctuations in the levels of SO2 and its derivatives (SO32-/HSO3-) provides valuable insights into the molecular mechanisms underlying epilepsy, with potential implications for its diagnosis and therapeutic intervention. Nonetheless, the absence of reversible in vivo detection tools constitutes a formidable obstacle in the real-time monitoring of SO2 dynamics in the brain. In response to this challenge, we propose a novel approach involving a photoelectrochemical (PEC) microsensor capable of reversibly detecting SO2. This microsensor leverages a reversibly recognizing dye for SO2 and upconversion nanoparticles as the modulator of the excitation source for the photoactive material, enabling modulation of the photocurrent by the target. The reversible output of PEC signals allows for the monitoring of SO2 levels in real time in the brains of epileptic mice. This study reveals the patterns of SO2 level changes during epilepsy and provides insights into the neuroprotective mechanism of exogenous SO2.

Approach for differential phase contrast imaging in x-ray microscopy.

We propose a differential phase contrast imaging method in x-ray microscopy by utilizing a biased derivative filter, which is structurally similar to that used in visible optics, except that phase changes by the filter cannot be ignored in the x-ray range. However, it is demonstrated that the filter's phase retardation does not disturb its function of phase contrast imaging, and even enhances the signals to some extent. Theoretical formulations and corresponding numerical simulations show that the approach is capable of performing characteristic differential microscopic phase imaging with nanometer-scale resolution. Manageable parameters are also examined in detail for pursuing a high image quality.

Deep-MSIM: Fast Image Reconstruction with Deep Learning in Multifocal Structured Illumination Microscopy.

Fast and precise reconstruction algorithm is desired for for multifocal structured illumination microscopy (MSIM) to obtain the super-resolution image. This work proposes a deep convolutional neural network (CNN) to learn a direct mapping from raw MSIM images to super-resolution image, which takes advantage of the computational advances of deep learning to accelerate the reconstruction. The method is validated on diverse biological structures and in vivo imaging of zebrafish at a depth of 100 µm. The results show that high-quality, super-resolution images can be reconstructed in one-third of the runtime consumed by conventional MSIM method, without compromising spatial resolution. Last but not least, a fourfold reduction in the number of raw images required for reconstruction is achieved by using the same network architecture, yet with different training data.