Lice detection comb
This project has been secured to protect intellectual property.
Login for More InformationA device that can scientifically detect lice from a swipe of a comb as opposed to relying on visual inspection, which can be inaccurate.
Project Overview
Diagnosis of lice in schools via visual inspection provides a 95% accuracy rate. Many schools handle lice outbreaks with exclusion and “no-nit” policies, resulting in children without lice being sent home “at least as often as infested children.” Misdiagnosis can therefore cause not only unnecessary hardship on the family, but also delay the child’s learning. A more accurate way to detect an active lice infestation is needed for scenarios like these. The design should be easily usable by school nurses and at camps, be able to detect the difference between a louse, nit, or unrelated debris, be purchased for under $40, and be able to accurately diagnose an active lice infestation greater than visual inspection (> 95% accuracy).
Team Picture
Contact Information
Team Members
- Cassidy Darling - Team Leader
- Emily Stoebe - Communicator
- Ai Song - BSAC
- James Waldenberger - BWIG
- Antony Amala Mahil Maran - Co-BPAG
- Zac Mayhew - Co-BPAG
Advisor and Client
- Prof. John Puccinelli - Advisor
- Mr. Robert Gold - Client