Abstract: The present disclosure is directed towards systems and methods that leverage machine-learned models to decrease the rate at which abnormal sites are missed during a gastroenterological procedure. In particular, the system and methods of the present disclosure can use machine-learning techniques to determine the coverage rate achieved during a gastroenterological procedure. Measuring the coverage rate of the gastroenterological procedure can allow medical professionals to be alerted when the coverage output is deficient and thus allow an additional coverage to be achieved and as a result increase in the detection rate for abnormal sites (e.g., adenoma, polyp, lesion, tumor, etc.) during the gastroenterological procedure.

Abstract: A user-interface for aiding navigation of an endoscope through a lumen of a tubular anatomical structure during an endoscopy procedure includes a video region in which a live video feed received from the endoscope is displayed and an observation location map. The observation location map depicts a point of observation from which the live video feed is acquired within the lumen relative to a cross-sectional depiction of the lumen as the endoscope longitudinally traverses the tubular anatomical structure within the lumen during the endoscopy procedure.

Abstract: A user-interface for aiding navigation of an endoscope through a lumen of a tubular anatomical structure during an endoscopy procedure includes a video region in which a live video feed received from the endoscope is displayed and an observation location map. The observation location map depicts a point of observation from which the live video feed is acquired within the lumen relative to a cross-sectional depiction of the lumen as the endoscope longitudinally traverses the tubular anatomical structure within the lumen during the endoscopy procedure.

Abstract: The present disclosure is directed towards systems and methods that leverage machine-learned models to decrease the rate at which abnormal sites are missed during a gastroenterological procedure. In particular, the system and methods of the present disclosure can use machine-learning techniques to determine the coverage rate achieved during a gastroenterological procedure. Measuring the coverage rate of the gastroenterological procedure can allow medical professionals to be alerted when the coverage output is deficient and thus allow an additional coverage to be achieved and as a result increase in the detection rate for abnormal sites (e.g., adenoma, polyp, lesion, tumor, etc.) during the gastroenterological procedure.

Abstract: A system comprising: a high index dielectric configured to: a) create a bi-periodic interference pattern of two standing sinusoidal waves on illumination by two pairs of counter-propagating sinusoidal light beams at different incident angles, wherein the incident angles are selected in accordance with the index of refraction of the high index dielectric to i) to 5 determine the spatial frequency of each counter-propagating light beam pair, and ii) cause total internal reflection, and b) generate, from the bi-periodic interference pattern, an evanescent bi-periodic standing sinusoidal wave; a light source configured to illuminate the high index dielectric with the two pairs of counter-propagating sinusoidal light beams at the different incident angles and thereby illuminate a fluorescing object positioned at the surface of the high index dielectric with the generated evanescent bi-periodic standing sinusoidal wave; and one or more delay lines configured to independently modify the initial phase of each counter

Abstract: A system comprising: a dielectric configured to: a) create a bi-periodic interference pattern of two standing sinusoidal waves on illumination by two pairs of counter-propagating light beams at different incident angles, wherein the incident angles are selected in accordance with the index of refraction of the dielectric to i) to determine the spatial frequency of each counter-propagating light wave pair, and ii) cause total internal reflection, and b) generate, from the bi-periodic interference pattern, an evanescent bi-periodic standing sinusoidal wave; a light source configured to illuminate the dielectric with the two pairs of counter-propagating sinusoidal light waves at the selected incident angles and thereby illuminate a fluorescing object positioned at the surface of the dielectric with the generated bi-periodic evanescent standing sinusoidal wave; and one or more delay lines configured to independently modify the initial phase of each counter-propagating light wave pair.