Concentration-associated pathology of alkali burn in a mouse model using anterior segment optical coherence tomography with angiography.

Pathological features of alkali concentration-associated burn were studied using non-invasive anterior segment optical coherence tomography (AS-OCT) and OCT angiography (OCTA). Alkali burn was induced in C57BL/6J mice (n = 20) by placing filter paper soaked in 0.1, 0.25, 0.5, and 1 M NaOH for 30s on the right eye (left eye control). Longitudinal imaging was performed with AS-OCT/OCTA and fluorescein angiography over 14 days, after which eyes were enucleated at 7 and 14 days for histology and immunofluorescence. Concentration-associated corneal swelling was maximal at 0.5M, increasing linearly in a concentration-dependent fashion at 0.1, 0.25, and 0.5 M NaOH, to levels of 50%, 100%, and 175% of control, respectively. At 0.1M, corneal swelling and surface erosions were prominent, while at 0.25M, deep tissue damage, limbal neovascularization, and stromal haze were evident at 7 days. At 0.5M and 1M, severe exacerbation of the corneal swelling, angle closure, Descemet's membrane detachment, hyphema, and profuse central neovascularization were noted as early as day 3, which further progressed to inflammation, fibrosis, and opacity by day 7. We conclude that alkali concentration-dependent burn intensity biomarkers can be assessed by non-invasive AS-OCT/OCTA, distinguishing between mild, moderate, and severe ocular injury, with potential relevance toward clinical utilization in human eyes.

Spatial-Temporal Speckle Variance in the En-Face View as a Contrast for Optical Coherence Tomography Angiography (OCTA).

Optical Coherence Tomography (OCT) is an adaptable depth-resolved imaging modality capable of creating a non-invasive 'digital biopsy' of the eye. One of the latest advances in OCT is optical coherence tomography angiography (OCTA), which uses the speckle variance or phase change in the signal to differentiate static tissue from blood flow. Unlike fluorescein angiography (FA), OCTA is contrast free and depth resolved. By combining high-density scan patterns and image processing algorithms, both morphometric and functional data can be extracted into a depth-resolved vascular map of the retina. The algorithm that we explored takes advantage of the temporal-spatial relationship of the speckle variance to improve the contrast of the vessels in the en-face OCT with a single frame. It also does not require the computationally inefficient decorrelation of multiple A-scans to detect vasculature, as used in conventional OCTA analysis. Furthermore, the spatial temporal OCTA (ST-OCTA) methodology tested offers the potential for post hoc analysis to improve the depth-resolved contrast of specific ocular structures, such as blood vessels, with the capability of using only a single frame for efficient screening of large sample volumes, and additional enhancement by processing with choice of frame averaging methods. Applications of this method in pre-clinical studies suggest that the OCTA algorithm and spatial temporal methodology reported here can be employed to investigate microvascularization and blood flow in the retina, and possibly other compartments of the eye.

Non-Invasive Evaluation of Retinal Vascular Alterations in a Mouse Model of Optic Neuritis Using Laser Speckle Flowgraphy and Optical Coherence Tomography Angiography.

Optic neuritis, a characteristic feature of multiple sclerosis (MS), involves the inflammation of the optic nerve and the degeneration of retinal ganglion cells (RGCs). Although previous studies suggest that retinal blood flow alterations occur during optic neuritis, the precise location, the degree of impairment, and the underlying mechanisms remain unclear. In this study, we utilized two emerging non-invasive imaging techniques, laser speckle flowgraphy (LSFG) and optical coherence tomography angiography (OCTA), to investigate retinal vascular changes in a mouse model of MS, known as experimental autoimmune encephalomyelitis (EAE). We associated these changes with leukostasis, RGC injury, and the overall progression of EAE. LSFG imaging revealed a progressive reduction in retinal blood flow velocity and increased vascular resistance near the optic nerve head in the EAE model, indicating impaired ocular blood flow. OCTA imaging demonstrated significant decreases in vessel density, number of junctions, and total vessel length in the intermediate and deep capillary plexus of the EAE mice. Furthermore, our analysis of leukostasis revealed a significant increase in adherent leukocytes in the retinal vasculature of the EAE mice, suggesting the occurrence of vascular inflammation in the early development of EAE pathology. The abovechanges preceded or were accompanied by the characteristic hallmarks of optic neuritis, such as RGC loss and reduced visual acuity. Overall, our study sheds light on the intricate relationship between retinal vascular alterations and the progression of optic neuritis as well as MS clinical score. It also highlights the potential for the development of image-based biomarkers for the diagnosis and monitoring of optic neuritis as well as MS, particularly in response to emerging treatments.

Semi-automated micro-computed tomography lung segmentation and analysis in mouse models.

Computed Tomography (CT) is a standard clinical tool utilized to diagnose known lung pathologies based on established grading methods. However, for preclinical trials and toxicity investigations in animal models, more comprehensive datasets are typically needed to determine discriminative features between experimental treatments, which oftentimes require analysis of multiple images and their associated differential quantification using manual segmentation methods. Furthermore, for manual segmentation of image data, three or more readers is the gold standard of analysis, but this requirement can be time-consuming and inefficient, depending on variability due to reader bias. In previous papers, microCT image manual segmentation was a valuable tool for assessment of lung pathology in several animal models; however, the manual segmentation approach and the commercial software used was typically a major rate-limiting step. To improve the efficiency, the semi-manual segmentation method was streamlined, and a semi-automated segmentation process was developed to produce:•Quantifiable segmentations: using manual and semi-automated analysis methods for assessing experimental injury and toxicity models,•Deterministic results and efficiency through automation in an unbiased and parameter free process, thereby reducing reader variance, user time, and increases throughput in data analysis,•Cost-Effectiveness: portable with low computational resource demand, based on a cross-platform open-source ImageJ program.

Quantification of Leukocyte Trafficking in a Mouse Model of Multiple Sclerosis through In Vivo Imaging.

Purpose: Optic neuritis occurring in multiple sclerosis (MS) is a disease characterized by chronic inflammation and demyelination in the optic nerve. Although it has been well appreciated that leukocyte infiltration into the optic nerve is an early event during the course of the disease, there has been no study on visualizing and quantifying leukocyte trafficking in the retina during the progression of MS. Methods: In this study, we generated green fluorescent protein (GFP)+ bone marrow chimeric mice, in which GFP-labeled leukocytes facilitate the visualization of their trafficking in the retina. This reporter was then integrated with a well-established rodent model for MS-experimental autoimmune encephalomyelitis (EAE), allowing high resolution in vivo scanning laser ophthalmoscopy (SLO) to track leukocyte movement in the retina in real time. Quantification of leukocyte trafficking was accomplished through Imaris software. Results: Through SLO, we were able to localize the GFP signal, allowing us to clearly identify leukocytes within the vascular space. We observed more intense leukocyte migration in the retina of EAE mice, exhibiting three distinct movement behaviors: flowing, rolling/crawling and adherent. There was a marked increase in leukocyte rolling and adhesion in retinal vasculature, particularly in the veins and capillaries after induction of EAE. The velocity of rolling leukocytes ranged from 12.0 to 1065.0 µm/sec in the veins as compared to 14.1 to 942.0 in the capillaries. Furthermore, focal areas of recurrent leukocyte adhesion to endothelial surfaces were observed in EAE retinas. Conclusion: We generated a novel model that makes it possible to non-invasively track leukocyte trafficking in the retina of EAE mice. Our study demonstrates that leukocyte migration in an MS model is distinctly different from the control, suggesting that leukocytes may play a key role in the development of retinal vascular inflammation and optic neuritis during MS, warranting further investigation of the pathological roles of leukocytes in the disease onset and progression.

Daily Affective and Behavioral Forecasts in Romantic Relationships: Seeing Tomorrow Through the Lens of Today.

The current research examined accuracy and bias in daily forecasts within romantic relationships. Results of an extensive daily report study involving 200 romantic dyads and 4,822 daily observations suggested that predictions regarding affect and partner behavior that will occur tomorrow are somewhat accurate, predicted by actual experiences tomorrow, but are largely biased by current experiences. Participants appeared to project the current state of their relationship into the future, a temporal projection bias. This bias predicted forecasters' pro-relationship motivation and behavior. Forecasters were less likely to exhibit the temporal projection bias when they were high in relationship commitment, and they were more likely to exhibit the bias when they were high in need for cognitive closure, suggesting that motivation can constrain or amplify tendencies to project the present into the future. Implications for interpersonal relationships are discussed.