A computer vision based optical method for measuring fluid level in cell culture plates.
Journal
PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081
Informations de publication
Date de publication:
2023
2023
Historique:
received:
23
01
2023
accepted:
21
08
2023
medline:
11
9
2023
pubmed:
8
9
2023
entrez:
8
9
2023
Statut:
epublish
Résumé
For a transparent well with a known volume capacity, changes in fluid level result in predictable changes in magnification of an overhead light source. For a given well size and fluid, the relationship between volume and magnification can be calculated if the fluid's index of refraction is known or in a naive fashion with a calibration procedure. Light source magnification can be measured through a camera and processed using computer vision contour analysis with OpenCV. This principle was applied in the design of a 3D printable sensing device using a raspberry pi zero and a camera.
Identifiants
pubmed: 37682933
doi: 10.1371/journal.pone.0290951
pii: PONE-D-23-02046
pmc: PMC10490923
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
e0290951Subventions
Organisme : NHGRI NIH HHS
ID : RM1 HG011543
Pays : United States
Informations de copyright
Copyright: © 2023 Baudin, Teodorescu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
P.V.B has filed a provisional patent application for the described method. The authors have no other competing interests. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
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