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Correction: Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers

Satarupa Banerjee*a, Swarnadip Chatterjeeb, Anji Anuraa, Jitamanyu Chakrabartyc, Mousumi Pald, Bhaskar Ghoshe, Ranjan Rashmi Pauld, Debdoot Sheetf and Jyotirmoy Chatterjeea
aSchool of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. E-mail: satarupa@smst.iitkgp.ernet.in
bAdvanced Technology Development Centre, Indian Institute of Technology, Kharagpur, India
cDepartment of Chemistry, National Institute of Technology Durgapur, India
dDepartment of Oral and Maxillofacial Pathology, Guru Nanak Institute of Dental Science and Research, Kolkata, India
eDepartment of ENT & Head Neck Surgery, Medical College, Kolkata, India
fDepartment of Electrical Engineering, Indian Institute of Technology, Kharagpur, India

Received 20th April 2016 , Accepted 20th April 2016

First published on 29th April 2016


Abstract

Correction for ‘Global spectral and local molecular connects for optical coherence tomography features to classify oral lesions towards unravelling quantitative imaging biomarkers’ by Satarupa Banerjee et al., RSC Adv., 2016, 6, 7511–7520.


The published legend for Fig. 3 was slightly incorrect (VG and CK 10 labels in figure did not match). The correct version is given below and is consistent with the figure:

 

Fig. 3 Representative images of each study conditions of PAS stained tissue section of (a) NOM (b) OLK (c) OSF and (d) OSCC; VG stained tissue section of (e) NOM (f) OLK (g) OSF and (h) OSCC; CK 10 stained tissue section of (i) NOM (j) OLK (k) OSF and (l) OSCC; collagen I stained tissue section of (m) NOM (n) OLK (o) OSF and (p) OSCC; microscopic images provided at 20× magnification.

The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.


This journal is © The Royal Society of Chemistry 2016
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