ALFIA (Automated Lymphatic Function Imaging Analysis), an algorithm providing quantitative analysis of investigational near-infrared fluorescence lymphatic images, is described. Images from nine human subjects were analyzed for apparent lymphatic propagation velocities and propulsion periods using manual analysis and ALFIA. While lymphatic propulsion was more easily detected using ALFIA than with manual analysis, statistical analyses indicate no significant difference in the apparent lymphatic velocities although ALFIA tended to calculate longer propulsion periods. With the base ALFIA algorithms validated, further automation can now proceed to provide a clinically relevant analytic tool for quantitatively assessing lymphatic function in humans.

Introduction: Endophthalmitis is a rare intraocular infection caused by numerous organisms from several possible sources. Fungal endophthalmitis is a rare subset of this pathology with limited diagnostics available. One of the few options to make this diagnosis is vitreous sampling, which is invasive, and results are not immediately available. Case Report: This case report describes the successful use of point-of-care ultrasound to visualize an intraocular fungal mass in a 60-year-old male who presented to the emergency department (ED) with two weeks of left eye pain and erythema approximately two months postoperative from a cataract extraction surgery. Conclusion: Fungal endophthalmitis is a rare and challenging diagnosis. Methods of diagnosing this pathology are not readily available in the ED. Point-of-care ultrasound may be a useful adjunct for the prompt diagnosis of fungal endophthalmitis. [Clin Pract Cases Emerg Med. 2022;6(1):555–558.]

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