HyU: Hybrid Unmixing for longitudinal in vivo imaging of low signal to noise fluorescence

The expanded application of fluorescence imaging in biomedical and biological research towards more complex systems and geometries requires tools that can analyze a multitude of components at widely varying time- and length-scales. The major challenge in such complex imaging experiments is to cleanly separate multiple fluorescent labels with overlapping spectra from one another and background autofluorescence, without perturbing the sample with high levels of light. Thus, there is a requirement for efficient and robust analysis tools capable of quantitatively separating these signals. In response, we have combined multispectral fluorescence microscopy with hyperspectral phasors and linear unmixing to create Hybrid Unmixing (HyU). Here we demonstrate its capabilities in the dynamic imaging of multiple fluorescent labels in live, developing zebrafish embryos. HyU is more sensitive to low light levels of fluorescence compared to conventional linear unmixing approaches, permitting better multiplexed volumetric imaging over time, with less bleaching. HyU can also simultaneously image both bright exogenous and dim endogenous labels because of its high dynamic range. This allows studies of cellular behaviors, tagged components, and cell metabolism within the same specimen, offering a powerful window into the orchestrated complexity of biological systems.

Circumferential sulcus-guided resection technique for improved outcomes of low-grade gliomas

OBJECTIVE Many neurosurgeons resect nonenhancing low-grade gliomas (LGGs) by using an inside-out piecemeal resection (PMR) technique. At the authors’ institution they have increasingly used a circumferential, perilesional, sulcus-guided resection (SGR) technique. This technique has not been well described and there are limited data on its effectiveness. The authors describe the SGR technique and assess the extent to which SGR correlates with extent of resection and neurological outcome. METHODS The authors identified all patients with newly diagnosed LGGs who underwent resection at their institution over a 22-year period. Demographics, presenting symptoms, intraoperative data, method of resection (SGR or PMR), volumetric imaging data, and postoperative outcomes were obtained. Univariate analyses used ANOVA and Fisher’s exact test. Multivariate analyses were performed using multivariate logistic regression. RESULTS Newly diagnosed LGGs were resected in 519 patients, 208 (40%) using an SGR technique and 311 (60%) using a PMR technique. The median extent of resection in the SGR group was 84%, compared with 77% in the PMR group (p = 0.019). In multivariate analysis, SGR was independently associated with a higher rate of complete (100%) resection (27% vs 18%) (OR 1.7, 95% CI 1.1–2.6; p = 0.03). SGR was also associated with a statistical trend toward lower rates of postoperative neurological complications (11% vs 16%, p = 0.09). A subset analysis of tumors located specifically in eloquent brain demonstrated SGR to be as safe as PMR. CONCLUSIONS The authors describe the SGR technique used to resect LGGs and show that SGR is independently associated with statistically significantly higher rates of complete resection, without an increase in neurological complications, than with PMR. SGR technique should be considered when resecting LGGs.

Impact of clinical outcomes and imaging measures on health-related quality of life in secondary progressive MS

Background: Health-related quality of life (HRQOL) outcomes are often included as secondary outcomes in clinical trials in secondary progressive MS (SPMS), but little is known about the longitudinal association of HRQOL and clinical and imaging outcome measures in SPMS. Objective: To assess the association of change in clinical and imaging outcomes with HRQOL in people with SPMS. Methods: We used data from ASCEND, a large randomized controlled trial ( n = 889), to investigate the association of significant worsening on the Expanded Disability Status Scale (EDSS), Timed 25 Foot Walk (T25FW), Nine Hole Peg Test (NHPT), Symbol Digit Modalities Test (SDMT), and change in lesional and volumetric imaging outcomes with significant worsening on the 36-Item Short Form Health Survey (SF-36) and the Multiple Sclerosis Impact Scale (MSIS-29) during 2 years of follow-up using logistic regression models. Results: HRQOL measures were most associated with EDSS and T25FW, less so with NHPT and SDMT, and not associated with lesional and volumetric imaging outcomes. Discussion: Worsening of the EDSS and T25FW was associated with two commonly used HRQOL measures. These outcomes therefore appear to be more patient relevant than either the NHPT or SDMT in the context of a 2-year clinical trial.

Capturing the start point of the virus-cell interaction with high-speed 3D single-virus tracking

The early stages of the virus-cell interaction have long evaded observation by existing microscopy methods due to the rapid diffusion of virions in the extracellular space and the large 3D cellular structures involved. Here we present an active-feedback single-virus tracking method with simultaneous volumetric imaging of the live cell environment to address this knowledge gap to present unprecedented detail to the extracellular phase of the infectious cycle. We report previously unobserved phenomena in the early stages of the virus-cell interaction, including skimming contact events at the millisecond timescale, orders of magnitude change in diffusion coefficient upon binding, and cylindrical and linear diffusion modes along filopodia. Finally, we demonstrate how this new method can move single-virus tracking from simple monolayer culture towards more tissue-like conditions by tracking single virions in tightly packed epithelial cells. This multi-resolution method presents new opportunities for capturing fast, 3D processes in biological systems.

Review and Prospect: Artificial Intelligence in Advanced Medical Imaging

Artificial intelligence (AI) as an emerging technology is gaining momentum in medical imaging. Recently, deep learning-based AI techniques have been actively investigated in medical imaging, and its potential applications range from data acquisition and image reconstruction to image analysis and understanding. In this review, we focus on the use of deep learning in image reconstruction for advanced medical imaging modalities including magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET). Particularly, recent deep learning-based methods for image reconstruction will be emphasized, in accordance with their methodology designs and performances in handling volumetric imaging data. It is expected that this review can help relevant researchers understand how to adapt AI for medical imaging and which advantages can be achieved with the assistance of AI.

Miniature Structured Illumination Microscope for in vivo 3D Imaging of Brain Structures with Optical Sectioning

We present a high-resolution miniature, light-weight fluorescence microscope with electrowetting lens and onboard CMOS for high resolution volumetric imaging and structured illumination for rejection of out-of-focus and scattered light. The miniature microscope (SIMscope3D) delivers structured light using a coherent fiber bundle to obtain optical sectioning with an axial resolution of 18 μm. Volumetric imaging of eGFP labeled cells in fixed mouse brain tissue at depths up to 220 μm is demonstrated. The functionality of SIMscope3D to provide background free 3D imaging is shown by recording time series of microglia dynamics in awake mice at depths up to 120 μm in the brain.

In vivo volumetric imaging of calcium and glutamate activity at synapses with high spatiotemporal resolution

Studying neuronal activity at synapses requires high spatiotemporal resolution. For high spatial resolution in vivo imaging at depth, adaptive optics (AO) is required to correct sample-induced aberrations. To improve temporal resolution, Bessel focus has been combined with two-photon fluorescence microscopy (2PFM) for fast volumetric imaging at subcellular lateral resolution. To achieve both high-spatial and high-temporal resolution at depth, we develop an efficient AO method that corrects the distorted wavefront of Bessel focus at the objective focal plane and recovers diffraction-limited imaging performance. Applying AO Bessel focus scanning 2PFM to volumetric imaging of zebrafish larval and mouse brains down to 500 µm depth, we demonstrate substantial improvements in the sensitivity and resolution of structural and functional measurements of synapses in vivo. This enables volumetric measurements of synaptic calcium and glutamate activity at high accuracy, including the simultaneous recording of glutamate activity of apical and basal dendritic spines in the mouse cortex.