Open Access Article
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Correction: Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms
Adam H.
Agbaria
a,
Guy
Beck
b,
Itshak
Lapidot
c,
Daniel H.
Rich
a,
Joseph
Kapelushnik
b,
Shaul
Mordechai
a,
Ahmad
Salman
*d and
Mahmoud
Huleihel
e
aDepartment of Physics, Ben-Gurion University, Beer-Sheva 84105, Israel
bDepartment of Hematology, Soroka University Medical Center, Beer-Sheva 84105, Israel
cDepartment of Electrical and Electronics Engineering, ACLP-Afeka Center for Language Processing, Afeka Tel-Aviv Academic College of Engineering, Tel-Aviv 69107, Israel
dDepartment of Physics, SCE-Sami Shamoon College of Engineering, Beer-Sheva 84100, Israel. E-mail: ahmad@sce.ac.il
eDepartment of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel
First published on 14th September 2020
Abstract
Correction for ‘Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms’ by Adam H. Agbaria et al., Analyst, 2020, DOI: 10.1039/D0AN00752H.
The authors regret the omission of a funding acknowledgement in the original article. This acknowledgement is given below.
This research was supported by the ISRAEL SCIENCE FOUNDATION (grant No. 1087/20).
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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