All posters will be displayed within the Trade Exhibition Hall (Hall L) for the duration of the Conference for delegate convenience and available for viewing during the following catering break times:


Morning Tea

10.30am – 11.00am


12:30pm – 1.30pm

Afternoon Tea

3.00pm – 3.30pm


Morning Tea

10.30am – 11.00am


12:35pm – 1.30pm

PLEASE NOTE: program details are subject to change. Please refer to the CONFERENCE program ON THE website for all up to date information.

A PDF of each accepted poster can be viewed by clicking the poster abstarct titles below. All poster abstracts will be printed in the delegate handbook.

— IHC profile of an atypical case study of meningothelial-like inclusions —

Dr Rebecca Donkin, Dr Andrew Dettrick, Dr Penelope Wyche, Dr Sarah Grigg

— Get Knotted – Umbilical Cord Knots, A Focus of Interest —

Sue Jennings, Georgina Talbot

— The Use of CPOE and DP in Frozen Section Laboratory —

Mr Seow Ye Heng, Dr Chee Leong Cheng, Dr Rafay Azhar

— Optimisation of processing protocol for electron microscopy on renal frozen tissue —

Miss Geok Li Ng, Dr Hwai-Liang Loh, Miss Yan Fei Ng

— The hidden dangers lurking under your skin: Beware of tender, crusty & nasty lesions —

Mrs Kavithajini Suganthan, Mr Phyu Noe, Mr Rawad Shararah, Dr Esther Myint

— How is MOHs Surgery performed —

Mr Walter Ronda, Dr Eleni Yiasemides

— Quality assurance in diagnostic Immunohistochemistry —

Mr Joel Talbot, Dr Dinh Tran, Dr Esther Myint

— The importance of workplace programs in improving technical capabilities of university graduates —

Ms Michelle Calcott

— Developing Computer-Based Technology to Improve the Pathology and Understanding of Neuroblastoma —

Louise Samios, Aysen Yuksel, Gyorgy Hutvagner, Daniel Catchpoole

— Comparison of two Synaptophysin Immunohistochemistry Antibodies using Tissue Microarray and Image Analysis: The Basis for Objective Antibody Validation —

Aysen Yuksel, Anthony Henwood, Nicole Mackie, Daniel Catchpoole

— Computers can classify Neuroblastic Tumours from Histopathological Images using Machine Learning —

Soheila Gheisari, Amanda Charlton, Daniel R. Catchpoole, Paul J. Kennedy