Erratum: Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms (Analyst (2020) DOI: 10.1039/D0AN00752H)

Adam H. Agbaria; Guy Beck; Itshak Lapidot; Daniel H. Rich; Joseph Kapelushnik; Shaul Mordechai; Ahmad Salman; Mahmoud Huleihel

doi:10.1039/d0an90103b

Erratum: Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms (Analyst (2020) DOI: 10.1039/D0AN00752H)

Adam H. Agbaria, Guy Beck, Itshak Lapidot, Daniel H. Rich, Joseph Kapelushnik, Shaul Mordechai, Ahmad Salman, Mahmoud Huleihel

Research output: Contribution to journal › Comment/debate

Abstract

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.

Original language	English
Pages (from-to)	7447
Number of pages	1
Journal	Analyst
Volume	145
Issue number	22
DOIs	https://doi.org/10.1039/d0an90103b
State	Published - 21 Nov 2020

ASJC Scopus subject areas

Analytical Chemistry
Biochemistry
Environmental Chemistry
Spectroscopy
Electrochemistry

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10.1039/d0an90103b

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abstract = "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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AU - Rich, Daniel H.

AU - Kapelushnik, Joseph

AU - Mordechai, Shaul

AU - Salman, Ahmad

AU - Huleihel, Mahmoud

PY - 2020/11/21

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N2 - 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.

AB - 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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Erratum: Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms (Analyst (2020) DOI: 10.1039/D0AN00752H)

Abstract

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