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Author Correction: Morphology-based screening for sickle cell disease using low-cost automated microscopy and machine learning

Year: 2026

Type: erratum

Abstract: In the original published version of this article, a scale unit typo occurred when reporting cell counts. The unit “trillion” was incorrectly used instead of “billion”. Specifically:

Source: npj Digital Public Health

DOI: 10.1038/s44482-026-00044-4

Authors: Pranav Shrestha, Hendrik Lohse, Christopher Bhatla, Heather McCartney, Alaa Alzaki, Navdeep Sandhu, Pradip Kumar Oli, Hongquan Li, Manu Prakash, Ali Amid, Rodrigo Onell, Nicholas Au, Hayley Merkeley, Videsh Kapoor, Rajan Pande, Boris Stoeber

Institutions: University of British Columbia, Eindhoven University of Technology, BC Children's Hospital, St. Paul's Hospital, Stanford University

Language: English

Topic: Digital Imaging for Blood Diseases

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W7204789412

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