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Accessible and reliable neurometric testing in humans using a smartphone platform.

ABSTRACT: Tests of human brain circuit function typically require fixed equipment in lab environments. We have developed a smartphone-based platform for neurometric testing. This platform, which uses AI models like computer vision, is optimized for at-home use and produces reproducible, robust results on a battery of tests, including eyeblink conditioning, prepulse inhibition of acoustic startle response, and startle habituation. This approach provides a scalable, universal resource for quantitative assays of central nervous system function.

SUBMITTER: Boele HJ

PROVIDER: S-EPMC10739701 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

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Accessible and reliable neurometric testing in humans using a smartphone platform.

Boele H J HJ Jung C C Sherry S S Roggeveen L E M LEM Dijkhuizen S S Öhman J J Abraham E E Uvarov A A Boele C P CP Gultig K K Rasmussen A A Vinueza-Veloz M F MF Medina J F JF Koekkoek S K E SKE De Zeeuw C I CI Wang S S-H SS

Scientific reports 20231218 1

Tests of human brain circuit function typically require fixed equipment in lab environments. We have developed a smartphone-based platform for neurometric testing. This platform, which uses AI models like computer vision, is optimized for at-home use and produces reproducible, robust results on a battery of tests, including eyeblink conditioning, prepulse inhibition of acoustic startle response, and startle habituation. This approach provides a scalable, universal resource for quantitative assay ...[more]

PMID: 38129487

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Project description:BackgroundStandard three-dimensional (3D) in vitro culture techniques, such as those used for mammary epithelial cells, rely on random distribution of cells within hydrogels. Although these systems offer advantages over traditional 2D models, limitations persist owing to the lack of control over cellular placement within the hydrogel. This results in experimental inconsistencies and random organoid morphology. Robust, high-throughput experimentation requires greater standardization of 3D epithelial culture techniques.MethodsHere, we detail the use of a 3D bioprinting platform as an investigative tool to control the 3D formation of organoids through the "self-assembly" of human mammary epithelial cells. Experimental bioprinting procedures were optimized to enable the formation of controlled arrays of individual mammary organoids. We define the distance and cell number parameters necessary to print individual organoids that do not interact between print locations as well as those required to generate large contiguous organoids connected through multiple print locations.ResultsWe demonstrate that as few as 10 cells can be used to form 3D mammary structures in a single print and that prints up to 500 μm apart can fuse to form single large structures. Using these fusion parameters, we demonstrate that both linear and non-linear (contiguous circles) can be generated with sizes of 3 mm in length/diameter. We confirm that cells from individual prints interact to form structures with a contiguous lumen. Finally, we demonstrate that organoids can be printed into human collagen hydrogels, allowing for all-human 3D culture systems.ConclusionsOur platform is adaptable to different culturing protocols and is superior to traditional random 3D culture techniques in efficiency, reproducibility, and scalability. Importantly, owing to the low-cost accessibility and computer numerical control-driven platform of our 3D bioprinter, we have the ability to disseminate our experiments with absolute precision to interested laboratories.

Dataset Information

Accessible and reliable neurometric testing in humans using a smartphone platform.

Publications

Accessible and reliable neurometric testing in humans using a smartphone platform.

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