Design, fabrication and testing of 3D printed smartphone-based device for collection of intrinsic fluorescence from human cervix.
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ABSTRACT:
SUBMITTER: Shukla S
PROVIDER: S-EPMC9249735 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Image processing refers to the use of computer algorithms to manipulate and enhance digital images to improve their quality or to make them more suitable for tasks such as classification. Common benchmarking datasets in this field include the imagenet, CIFAR-100, and MNIST datasets. This dataset is a collection of images that are particularly relevant to engineering and design, consisting of two categories: 3D-printed prototypes, and non-3D-printed prototypes This data was collected through a hybrid approach that entailed both web scraping and direct collection from engineering labs and workspaces at Penn State University. The initial data was then augmented using several data augmentation techniques including rotation, noise, blur, and color shifting. This dataset is potentially useful to train image classification algorithms or attentional mapping approaches. This data can be used either by itself or used to bolster an existing image classification dataset.
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Project description:ObjectiveThe objective of this project is to create a three-dimensional (3D) printed smartphone adaptor for flexible nasolaryngoscopy (FNL) to provide an affordable alternative to commercial options and a better fit than generic telescope phone adaptors.MethodWe designed an adaptor using computer aided software to connect an iPhone XS to an Olympus Rhino-Laryngo Fibre Scope. We experimented with various 3D printing materials and iterative designs to create a case that allowed for quality recording of a nasolaryngoscope exam using the iPhone's built in ×2 telescopic zoom lens.ResultsOur 3D printed adaptor provides a cost-effective alternative to commercially available FNL smartphone adaptors and is capable of capturing high-quality images and videos of the nasopharynx and larynx. These images are useful for senior clinician review, decrease the need for repeat examination, can be utilized for education, avail telehealth review, and provides a way to digitally record examinations to electronic medical records for future comparison without the need for an endoscopy tower.ConclusionSmartphone adaptors for FNL have been established to be of clinical value. Despite being simple devices, they continue to be expensive. This potentially limits access to junior clinicians, who stand to gain most from the ability to review images of examinations with senior colleagues. Our 3D printed smartphone case provides a cost-effective alternative, with a better fit than generic adaptors, at a print cost of $29 AUD. This is $131 AUD less than the next cheapest commercial alternative. The files are freely available for use and modification.Level of evidence4.
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2019-11-13 | GSE121477 | GEO
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