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

Access to Document

10.1039/d0an90103b

Cite this

@article{b8c8c1b7df0147888421f3af2d3b0c82,

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

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.",

author = "Agbaria, \{Adam H.\} and Guy Beck and Itshak Lapidot and Rich, \{Daniel H.\} and Joseph Kapelushnik and Shaul Mordechai and Ahmad Salman and Mahmoud Huleihel",

note = "Publisher Copyright: {\textcopyright} 2020 The Royal Society of Chemistry.",

year = "2020",

month = nov,

day = "21",

doi = "10.1039/d0an90103b",

language = "English",

volume = "145",

pages = "7447",

journal = "Analyst",

issn = "0003-2654",

publisher = "Royal Society of Chemistry",

number = "22",

}

TY - JOUR

T1 - Erratum

T2 - Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms (Analyst (2020) DOI: 10.1039/D0AN00752H)

AU - Agbaria, Adam H.

AU - Beck, Guy

AU - Lapidot, Itshak

AU - Rich, Daniel H.

AU - Kapelushnik, Joseph

AU - Mordechai, Shaul

AU - Salman, Ahmad

AU - Huleihel, Mahmoud

PY - 2020/11/21

Y1 - 2020/11/21

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.

UR - https://www.scopus.com/pages/publications/85095861307

U2 - 10.1039/d0an90103b

DO - 10.1039/d0an90103b

M3 - Comment/debate

C2 - 32926029

AN - SCOPUS:85095861307

SN - 0003-2654

VL - 145

SP - 7447

JO - Analyst

JF - Analyst

IS - 22

ER -

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

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this