Optics Letters

Enabling simultaneous and high-resolution quantification of the total concentration of hemoglobin (CHb), oxygen saturation of hemoglobin (sO2), and cerebral blood flow (CBF), multi-parametric photoacoustic microscopy (PAM) has emerged as a promising tool for functional and metabolic imaging of the live mouse brain. However, due to the limited depth of focus imposed by the Gaussian-beam excitation, the quantitative measurements become inaccurate when the imaging object is out of focus. To address this problem, we have developed a hardware-software combined approach by integrating Bessel-beam excitation and conditional generative adversarial network (cGAN)-based deep learning. Side-by-side comparison of the new cGAN-powered Bessel-beam multi-parametric PAM against the conventional Gaussian-beam multi-parametric PAM shows that the new system enables high-resolution, quantitative imaging of CHb, sO2, and CBF over a depth range of [~]600 m in the live mouse brain, with errors 13-58 times lower than those of the conventional system. Better fulfilling the rigid requirement of light focusing for accurate hemodynamic measurements, the deep learning-powered Bessel-beam multi-parametric PAM may find applications in large-field functional recording across the uneven brain surface and beyond (e.g., tumor imaging).

Diffuse optical tomography (DOT) is well known to be ill-posed and suffers from a poor resolution. While time domain DOT can bolster the resolution by time-gating to extract weakly scattering photons, it is often confronted by an inferior signal to noise ratio and a low measurement density. This is particularly problematic for non-contact DOT imaging of non-planar objects, which faces an inherent tradeoff between the light collection efficiency and depth of field. We present here ultrafast contour imaging, a method that enables efficient light collection over curved surfaces with a dense spatiotemporal sampling of diffused light, allowing DOT imaging in the objects native geometry with an improved resolution. We demonstrated our approach with both phantom and small animal imaging results. (C)2020 Optical Society of America

Multi-parametric photoacoustic microscopy (PAM) is uniquely capable of simultaneous, high-resolution mapping of blood hemoglobin concentration, oxygenation, and flow in vivo. However, its speed has been limited by the dense sampling required for blood flow quantification. To overcome this limitation, we have developed an ultra-high-speed multi-parametric PAM system, which enables simultaneous acquisition of ~500 densely sampled B-scans by superposing the rapid laser scanning across the line-shaped focus of a cylindrically focused ultrasonic transducer over the conventional mechanical scan of the optical-acoustic dual foci. A novel optical-acoustic combiner is designed and implemented to accommodate the short working distance of the transducer, enabling convenient confocal alignment of the dual foci in the reflection mode. This new system enables continuous monitoring of microvascular hemoglobin concentration, blood oxygenation, and flow over a 4.5 x 3 mm2 area in the awake mouse brain with high spatial and temporal resolution (6.9 m and 0.3 Hz, respectively).

We present a novel method to improve the imaging efficiency of tiling light sheet microscopy. In the method, scanning non-coaxial beam arrays synchronized with regional virtual confocal slits are used to illuminate imaging plane. There are two advantages. One is the imaging efficiency increases proportional to the number of excitation beams within the non-coaxial beam array. The other is the width of the regional virtual confocal slits could be very wide without admitting off-focus fluorescence generated by the non-coaxial beam array, which makes the method easy to adopt and very robust in practice. We describe the method in detail, characterize the method via numerical simulations. The results suggest that the imaging efficiency and feasibility of the tiling light sheet microscopy could be improved significantly without affecting the 3D imaging ability by using the method. In additions, we propose several configurations to implement the method in practice.

We demonstrate a multi-focal multi-photon volumetric microscopy via combination of 32-beam parallel lateral-scanning, a 70-kHz axial-scanning acoustic lens, and a 32-channel photodetector, enabling unprecedented data rate (2-10 GHz) and >500-volumes/second imaging speed over ~200x200x200-m3.

Phase contrast microscopy has been employed for 2D imaging of thin samples since its invention. Herein, we propose and demonstrate phase contrast tomography (PCT) that incorporates the scanning of LED illumination with quantitative phase contrast microscopy (QPCM) to realize 3D phase imaging of a sample. The proposed PCT is demonstrated 3D imaging of 200-nm polystyrene microspheres (PMs) and sub-organelles inside COS7 cells. The results reveal that the proposed PCT has high spatial resolution and stability without speckle noise, and thence, it has a great potential to be applied to industrial testing and life science research.

Two-photon fluorescence microscopy has enjoyed its wide adoption in neuroscience. Head-mounted miniaturized fiberscopes offered an exciting opportunity for enabling neural imaging in freely-behaving animals with high 3D resolution. Here we propose a dual-fiberscope rotary joint based on a Dove prism, for enabling simultaneous two-photon imaging of two brain regions with two fiberscopes in freely-walking/rotating mice. Analytic proof has confirmed the key properties of a Dove prism. Feasibility analyses and proof-of-concept experimental results have demonstrated the feasibility of such a rotary joint for allowing two fiberscopes to rotate simultaneously while maintaining an excellent single-mode fiber-to-fiber coupling for the excitation femtosecond laser. Fiberscopes with a dual-probe rotary joint offer an exciting opportunity to explore neural network dynamics of multiple interconnected brain regions in freely-walking rotating animals.

Visible light optical coherence tomography (VIS-OCT) is an emerging ophthalmic imaging method uniquely featured by ultrahigh depth resolution, retinal microvascular oximetry, and distinct scattering contrast in the visible spectral range. However, the clinical utility of VIS-OCT is impeded by the fundamental trade-off between the imaging depth range and axial resolution, determined by the spectral resolution and bandwidth respectively. While the full potential of VIS-OCT is leveraged by a broad bandwidth, the imaging depth is inversely sacrificed. The effective depth range is further limited by the wavelength-dependent roll-off that the signal-to-noise ratio (SNR) reduces in the deeper imaging range, more so in shorter wavelength. To address this trade-off, we developed a second-generation dual-channel VIS-OCT system including the first linear-in-k VIS-OCT spectrometer, reference pathlength modulation, and per A-line noise cancellation. All combined, we have achieved 7.2dB roll-off over the full 1.74 mm depth range (water) with shot-noise limited performance. The system uniquely enables >60{degrees} wide-field imaging over large retinal curvature at peripheral retina and optic nerve head, as well as high-definition imaging at ultrahigh 1.3 um depth resolution (water). The dual-channel design includes a conventional near infrared (NIR) channel, compatible with Doppler OCT and OCT angiography (OCTA). The comprehensive structure-function measurement by 2nd-Gen VIS-OCT system is a significant advance towards broader adaptation of VIS-OCT in clinical applications.

With a limited dynamic range of an imaging system, there are always regions with signal intensities comparable to the noise level, if the signal intensity distribution is close to or even wider than the available dynamic range. Optical brain/neuronal imaging is such a case where weak-intensity ultrafine structures, such as, nerve fibers, dendrites and dendritic spines, often coexist with ultrabright structures, such as, somas. A high fluorescence-protein concentration makes the soma order-of-magnitude brighter than the adjacent ultrafine structures resulting in an ultra-wide dynamic range. A straightforward enhancement of the weak-intensity structures often leads to saturation of the brighter ones, and might further result in amplification of high-frequency background noises. An adaptive illumination strategy to real-time-compress the dynamic range demands a dedicated hardware to operate and owing to electronic limitations, might encounter a poor effective bandwidth especially when each digitized pixel is required to be illumination optimized. Furthermore, such a method is often not immune to noise-amplification while locally enhancing a weak-intensity structure. We report a dedicated-hardware-free method for rapid noise-suppressed wide-dynamic-range compression so as to enhance visibility of such weak-intensity structures in terms of both contrast-ratio and signal-to-noise ratio while minimizing saturation of the brightest ones. With large-FOV aliasing-free two-photon fluorescence neuronal imaging, we validate its effectiveness by retrieving weak-intensity ultrafine structures amidst a strong noisy background. With compute-unified-device-architecture (CUDA)-acceleration, a time-complexity of <3 ms for a 1000x1000-sized 16-bit data-set is secured, enabling a real-time applicability of the same.

According to Rayleighs criterion, two incoherent emitters with a separation below the diffraction limit are not resolvable with a conventional fluorescence microscope. One method of Super-Resolution Microscopy (SRM) circumvents the diffraction-limited resolution by precisely estimating the position of spatiotemporally independent emitters. However, these methods of SRM techniques are not optimal for estimating the separation of two simultaneously excited emitters. Recently, a number of detection methods based on modal imaging have been developed to achieve the quantum Cramer-Rao lower bound (QCRB) to estimate the separations between two nearby emitters. The QCRB determines the minimum achievable precision for all possible detection methods. Current modal imaging techniques assume a scalar field generated from a point source, such as a distant source from an optical fiber or a pinhole. However, for fluorescently labeled samples, point emitters are single fluorophores that are modeled as dipole emitters and, in practice, are often freely rotating. Dipole radiation must be described by vectorial theory, and the assumption of a scalar field no longer holds. Here, we present a method to numerically calculate the QCRB for measuring the separation of two dipole emitters, incorporating the vectorial theory. Furthermore, we propose a near-quantum optimal detection scheme based on one of the modal imaging techniques, super-localization by image inversion interferometry (SLIVER), for estimating the separation of two freely rotating dipoles. In the proposed method, we introduce a vortex wave plate before the SLIVER detection to separate the radial and azimuthal components of the dipole radiation. With numerical simulations, we demonstrated that our method achieves non-divergent precision at any separation between two dipole emitters. We investigated several practical effects relevant to experimental measurements in super-resolution microscopy, including numerical aperture, detection bandwidth, number of estimation parameters, background, and misalignment on separation estimation. Our proposed measurement provides a near quantum-limited detection scheme for measuring the separation of two freely-rotating dipole emitters, such as fluorescently tagged molecules, which are commonly used in super-resolution microscopy.

Confocal microscope has optical sectioning that is accessible for structural and dynamic imaging in in vivo mouse brain. With the requirement of brain-wide field-of-view (FOV) in many neuroscience researches, existing confocal microscope fails to fulfill the requirement. Here, we proposed the brain-wide, high resolution line-scan confocal mesoscope (LSCM) for in vivo mouse imaging, achieving 6.6-mm-FOV, 3.2-m-resolution and video-rate acquisition. To further enhance the background rejection ability, we introduced the selective illumination method into our system. We demonstrated that the proposed technique is s able to image the neurodynamics in in vivo mouse brain. Comparing to the LSCM and wide-field mesoscope, our selective illumination line-scan confocal mesoscope improves more than 25% and 3 times background rejection ability, respectively.

Three-dimensional (3D) volumetric imaging of the human retina is instrumental to monitor and diagnose blinding conditions. Although coherent retinal imaging is well established by optical coherence tomography, it is still a large void for incoherent volumetric imaging in the human retina. Here, we report confocal oblique scanning laser ophthalmoscopy (CoSLO), to fill that void and harness incoherent optical contrast in 3D. CoSLO uses oblique scanning laser and remote focusing to acquire depth signal in parallel, avoid the lengthy z-stacking, and image a large field of view (FOV). In addition, confocal gating is introduced by a linear sensor array to improve the contrast and resolution. For the first time, we achieved incoherent 3D human retinal imaging with >20{degrees} viewing angle within only 5 seconds. The depth resolution is [~]45 microns in vivo. We demonstrated label-free incoherent contrast by CoSLO, revealing unique features in the retina. CoSLO will be an important technique for clinical care of retinal conditions and fundamental vision science, by offering unique volumetric incoherent contrasts.

Confocal Brillouin microscopy (CBM) enables high-resolution mechanical imaging but has slow acquisition speeds due to its point-by-point scanning strategy. Line-scanning Brillouin microscopy (LSBM) offers imaging acquisition speed improvements but faces challenges such as beam distortion in biaxial configurations and insufficient extinction ratio due to the single-stage VIPA spectrometer. To overcome these limitations, we developed a coaxial line-scanning Brillouin microscopy (cLSBM) system by using a two-stage parallel VIPA spectrometer. The coaxial design minimizes image distortion, and the two-stage parallel VIPA spectrometer significantly enhances the rejection of non-Brillouin noises. Experiment results showed that the first VIPA, served as a filter for noise rejection, has a rejection ability of 18 dB. The system was characterized by standard materials including ethanol and water, achieving a precision of 7.5 MHz and 12.6 MHz respectively. In the next step, we will optimize the system to further enhance noise rejection and utilize this setup to investigate the evolution of tissue mechanics during embryonic development.

Spatial resolution is crucial for imaging subcellular structures. The advent of three-dimensional structured illumination microscopy (3D-SIM) greatly benefits the biology community, providing a powerful tool for imaging organelles with a two-fold resolution enhancement in all three dimensions. However, the axial resolution of 3D-SIM is limited to around 300 nm, which is inferior to its lateral resolution. Here, a novel method called image interference SIM (I2SIM) is reported, which utilizes two oppositely positioned objectives to detect fluorescence emission interference under three-beam excitation. By incorporating spectral modulation and spatial domain Frobenius-Hessian optimization, I2SIM achieves an axial resolution approximately twice that of 3D-SIM, reaching around 130 nm. Furthermore, the potential of I2SIM for imaging subcellular structures is demonstrated on various biological samples, including microtubules, actin filaments, and mitochondrial outer membranes. The enhanced optical sectioning capability can be utilized to resolve axial structures that are challenging to discern using ordinary 3D-SIM.

Multicolor two-photon microscopy is an essential tool in modern life sciences, enabling simultaneous, high-resolution imaging of multiple cellular structures and dynamic processes within complex biomedical systems. Realizing its full potential demands light sources that combine multiplexed spectral flexibility, high pulse quality, and practical implementation for efficient excitation of diverse cellular targets. Here, we present a novel ultrafast fiber laser platform that enables efficient three-color multiplexed two-photon imaging through numerically optimized nonlinear spectral shaping in a photonic crystal fiber (PCF). The system is driven by a nonlinear Yb-doped fiber amplifier with tailored dispersion and gain characteristics to generate clean sub-50 fs pulses at 1030 nm with over 40 nJ pulse energy. Subsequent, simulation-guided PCF-based spectral broadening enables controlled formation of three distinct high-energy bands centered at 940 nm, 1,080 nm, and 1,175 nm, overlapping with key fluorescent probes and biomolecular markers. The resulting pulses, isolated with high spectral and time-domain pulse quality, provide sub-115 fs duration and 2.5 - 6 nJ energy per channel. Multiplexed imaging is validated in labeled mouse brain, kidney, and liver tissue slices using spectrally independent multi-fluorophore targeting to visualize e.g., astrocytes, neuronal structures, and nuclei in triple-stained mouse hippocampus. The demonstrated fiber-optic laser platform provides a practical alternative to conventional single-color sources and more complex multi-laser systems, supporting robust and high-resolution three-color two-photon imaging for a range of biomedical applications.

Widefield fluorescence imaging has significant challenges in visualizing neuronal fibers near cell bodies. Specifically, out-of-focus and scattered light from the bright cellbody often obscures nearby dim fibers and degrades their signal-to-background ratio. Scanning techniques can solve this problem but are limited by reduced imaging speed and increased cost. We greatly reduce stray light by modulating the illumination intensity to different structures. We use a digital micromirror device in the illumination channel of a common widefield microscope and use real-time image processing to pattern the illumination. With the setup, we illuminate bright cell bodies with minimal light intensity, and illuminate in focus fiber-like structures with high light intensity to reveal weak signals. Thus, we minimize the background and enhance the visibility of fibers in the final image. This targeted illumination significantly improves fiber contrast while maintaining a fast-imaging speed and low cost. Using a targeted illumination setup in a widefield microscope, we demonstrate confocal quality imaging of complex neurons in live C. elegans and zebrafish larva, as well as in in vitro mice brain slice.

Optical properties of blood encode oxygen-dependent information. Noninvasive optical detection of these properties is increasingly desirable to extract biomarkers for tissue health. Recently, visible-light optical coherence tomography (vis-OCT) demonstrated retinal oxygen saturation (sO2) measurements using the depth-resolved spectrum of blood. Such measurements rely on differences between the absorption and scattering coefficients of oxygenated and deoxygenated blood. However, there is still broad disagreement, both theoretically and experimentally, on how vis-OCT measures bloods scattering coefficient. Incorrect assumptions of bloods optical properties can add additional uncertainties or biases into vis-OCTs sO2 model. Using Monte Carlo simulation of a retinal vessel, we determined that vis-OCT almost exclusively detects multiple-scattered photons in blood. Meanwhile, photons mostly forward scatter in blood within the visible spectral range, allowing photons to maintain ballistic paths and penetrate deeply, leading to a reduction in the measured scattering coefficient. We defined a scattering scaling factor (SSF) to account for such a reduction and found that SSF varied with measurement conditions, such as numerical aperture, depth resolution, and depth selection. We further experimentally validated SSF in ex vivo blood phantoms pre-set sO2 levels and in the human retina, both of which agreed well with our simulation.

Array detector allows a resolution gain for confocal microscopy by combining images sensed by a set of photomultipliers tubes (or sub-detectors). Several methods have been proposed to reconstruct a high resolution image by linearly combining sub-detector images. To overcome the limitations of these techniques, we propose a new reconstruction method that takes the full stack of spatially reassigned detector signals as input. We show on both calibration slides and real data that our deconvolution method allows to achieve a better reconstruction performance in terms of resolution, image contrast, and spatial intensity homogeneity. The tested algorithms are available in an open source software.

With a limited effective voxel rate, to date, each laser-scanning mesoscopic multiphoton microscope (MPM), despite securing an ultra-large field of view (FOV) and an ultra-high optical resolution simultaneously, experiences a fundamental issue with digitization; i.e., inability to satisfy the Nyquist-Shannon sampling criterion to resolve the optics-limited sub-micron resolution over the whole FOV. Such a system either neglects the criterion degrading the digital resolution to twice the pixel size, or significantly reduces the imaging area and/or the imaging speed to respect the digitization. Here we introduce a Nyquist figure of merit parameter to assess this issue, further to comprehend a maximum aliasing-free FOV and a cross-over excitation wavelength for a laser scanning MPM system. Based on our findings we demonstrate an ultra-high voxel rate acquisition in a custom-built mesoscopic MPM system to exceed the Nyquist-rate for a >3800 FOV-resolution ratio while not compromising the imaging speed as well as the photon-budget.

Super-resolution structured illumination microscopy (SR-SIM) can be conducted at video-rate acquisition speeds when combined with high-speed spatial light modulators and sCMOS cameras, rendering it particularly suitable for live cell imaging. If, however, three-dimensional (3D) information is desired, the sequential acquisition of vertical image stacks employed by current setups significantly slows down the acquisition process. In this work we present a multi-plane approach to SR-SIM that overcomes this slowdown via the simultaneous acquisition of multiple object planes, employing a recently introduced multi-plane image splitting prism combined with high-speed SR-SIM illumination. This strategy requires only the introduction of a single optical element and the addition of a second camera to acquire a laterally super-resolved three-dimensional image stack. We demonstrate the performance of multi-plane SR-SIM by applying this instrument to the dynamics of live mitochondrial network.