Journal of Reproductive Immunology 97 (2013) 183–185
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Journal of Reproductive Immunology
j o ur nal homep age : w w w.elsevier.com/locate/jreprimm
Short communication
A rapid, reliable method for uNK cell density estimation
Josephine A. Drury
a,∗
, Ai-Wei Tang
a
, Mark A. Turner
a
, Siobhan Quenby
b
a
Department of Women’s and Children’s Health, University of Liverpool, UK
b
Division of Reproductive Health, University of Warwick, UK
a r t i c l e i n f o
Article history:
Received 14 August 2012
Received in revised form 4 December 2012
Accepted 10 December 2012
Keywords:
Uterine natural killer cells
CD56
Endometrium
Immunohistochemistry
Computer-assisted image analysis
a b s t r a c t
Interest in uterine NK cell density as a diagnostic or screening tool in reproductive disor-
ders is growing. However, current methods of analysis are time consuming. In this study,
997 images from 100 women were analysed both by the currently used method combin-
ing manual and computer aided counting, and by using colour splitting combined with
area measurement as an estimate of positively stained cells. Good correlation was found
between both methods (r
2
= 0.92) centred around the line of equality, with no systematic
differences observed in Bland Altman plots. The area measurement was significantly faster
and thus is a useful screening method.
© 2013 Elsevier Ireland Ltd. All rights reserved.
1. Introduction
Interest in uterine NK (uNK) cell counts as diagnostic
or screening tools in reproductive disorders is growing.
A recent randomised controlled double blind trial (RCT)
(Tang et al., 2009) used uNK cell density as a screening
test to select women for randomisation to treatment with
prednisolone or placebo. Others have found higher uNK
cell density in women with recurrent implantation failure
(Tuckerman et al., 2010). However, lack of standardisation
in the methodology between laboratories has hampered
research and made comparisons difficult, with wide varia-
tion in reported uNK cell density between centres.
A recent publication (Drury et al., 2011) described an
accurate and reproducible method of assessing uNK cell
density by a combination of manually counting the number
Abbreviations: uNK cell, uterine natural killer cell; DAB, diaminobenzi-
dine; SAIA, semi-automated image analysis; CDAM, colour deconvolution
and area measurement; HPF, high-power field; LOA, limit of agreement.
∗
Corresponding author at: Department of Women’s and Children’s
Health, University of Liverpool, Liverpool Women’s Foundation Trust,
Crown Street, Liverpool L8 7SS, UK. Tel.: +44 0151 7959563.
E-mail address: jadrury@liv.ac.uk (J.A. Drury).
of uNK cells stained positive with DAB, and using the ‘par-
ticle analysis’ function of the public domain image analysis
package, ImageJ to calculate the number of stromal cells.
However, despite the use of image analysis software the
method was still time consuming. The development of
uNK cell density as a screening test would require the
ability to inform a large number of women in a reasonable
time whether they were screened positive or negative.
Thus, there is a need to develop an alternative method for
uNK cell screening that is quick, reliable and reproducible,
in order to target novel therapies.
The aims of this study were to validate a computer aided
screening method for estimating uNK cell density and com-
pare the results and timing for the new and established
methods.
2. Materials and methods
Immunohistochemistry for CD56 was performed on
mid-luteal phase endometrial biopsies processed from
100 consecutive women who consented for screening
into a RCT as previously described (Tang et al., 2009). An
internal “staining control” slide was included with each
run. Images for analysis were captured using Eclipsenet
0165-0378/$ – see front matter © 2013 Elsevier Ireland Ltd. All rights reserved.
http://dx.doi.org/10.1016/j.jri.2012.12.002