Leuko Labs, Inc

Massachusetts Institute of Technology

Universidad Politécnica De Madrid

Alvaro Sanchez Ferro

Ian Butterworth

Aurelien Bourquard

Carlos Castro-Gonzalez

Tom Vettenburg

Carlos Castro Gonzalez

Jason Tucker-schwartz

Alberto Pablo Trinidad

Maria J Ledesma Carbayo

Alberto Pablo-Trinidad

Ganimete Lamaj

Nolan Bell

Ryan Benasutti

A system for non-invasive hematological measurements includes a platform to receive a body portion of a user and an imaging device to acquire a set of images of a capillary bed in the body portion. For each image, a controller detects one or more capillaries in the body portion of the finger to identify a first set of capillaries by estimating one or more attributes of each capillary (e.g., structural attributes, flow attributes, imaging attributes, or combinations thereof), wherein at least one attribute of each capillary meets a predetermined criterion. The controller also identifies a second set of capillaries from the first set of capillaries such that each capillary of the second set of capillaries is visible in a predetermined number of images of the set of images.

Systems, devices and methods for non-invasive hematological measurements

In one aspect, a method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos is featured. The method includes acquiring a first plurality of images of a region of interest including one or more capillaries of a predetermined area of a human subject from non-invasive capillary videos captured with an optical device, processing the first plurality of images to determine one or more optical absorption gaps located in said capillary, and annotating the first plurality of images with an indication of any optical absorption gap detected in the first plurality of images. The method also includes acquiring a second plurality of images of the same region of interest of the same capillary with an advanced optical device capable of resolving cellular structure of white blood cells and white blood cell subtypes and spatiotemporally annotating the second plurality of images with an indication of any white blood cell detected and/or a subtype of any white blood cell detected in the second plurality of images. The method also includes inputting the first plurality of images and annotated information from the first plurality of images and annotated information from the spatiotemporally annotated second plurality of images into a machine learning subsystem configured to determine a presence of white blood cells and/or the subtype of any white blood cells present in the one or more optical absorption gaps in the first plurality of images.

Method to detect white blood cells and/or white blood cell subtypes from non-invasive capillary videos

An automated system for acquiring images of one or more capillaries in a capillary bed includes a platform for receiving a body portion of a subject, an imaging subsystem having a repositionable field of view and coupled to the platform to acquire images of at least a capillary bed of the body portion and a controller communicably coupled to the imaging subsystem to automatically reposition the field of view of the imaging subsystem to different areas of the capillary bed, and at each field of view within the capillary bed, activate the imaging subsystem to acquire images of one or more capillaries in the capillary bed.

Automated system for acquiring images of one or more capillaries in a capillary bed

Growing community of inventors

Madrid, Spain

Alvaro Sanchez Ferro