Automated screening of sickle cells using a smartphone-based microscope and deep learning
Abstract Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited settings, SCD is not consistently diagnosed. In Africa, where the majority of SCD patients reside, more than 50% of...
Guardado en:
Autores principales: | Kevin de Haan, Hatice Ceylan Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e595bac286b64f02bb247b171d271337 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Smartphone-based turbidity reader
por: Hatice Ceylan Koydemir, et al.
Publicado: (2019) -
Sensing of electrolytes in urine using a miniaturized paper-based device
por: Fariba Ghaderinezhad, et al.
Publicado: (2020) -
Resolution enhancement in scanning electron microscopy using deep learning
por: Kevin de Haan, et al.
Publicado: (2019) -
Plasmonics Enhanced Smartphone Fluorescence Microscopy
por: Qingshan Wei, et al.
Publicado: (2017) -
Addressable nanoantennas with cleared hotspots for single-molecule detection on a portable smartphone microscope
por: Kateryna Trofymchuk, et al.
Publicado: (2021)