Classification of fetal and adult red blood cells based on hydrodynamic deformation and deep video recognition.
Biomed Microdevices
; 26(1): 5, 2023 12 14.
Article
en En
| MEDLINE
| ID: mdl-38095813
ABSTRACT
Flow based deformation cytometry has shown potential for cell classification. We demonstrate the principle with an injection moulded microfluidic chip from which we capture videos of adult and fetal red blood cells, as they are being deformed in a microfluidic chip. Using a deep neural network - SlowFast - that takes the temporal behavior into account, we are able to discriminate between the cells with high accuracy. The accuracy was larger for adult blood cells than for fetal blood cells. However, no significant difference was observed between donors of the two types.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Técnicas Analíticas Microfluídicas
/
Hidrodinámica
Idioma:
En
Revista:
Biomed Microdevices
Asunto de la revista:
ENGENHARIA BIOMEDICA
Año:
2023
Tipo del documento:
Article