Conference Proceedings

Evaluating spectral unmixing quality in the absence of reference objects for time lapse fluorescence microscopy

Liyan Liu, Andrey Kan, Jie HS Zhou, John F Markham, Philip D Hodgkin, Christopher Leckie, ZH Zhou (ed.), W Wang (ed.), R Kumar (ed.), H Toivonen (ed.), J Pei (ed.), JZ Huang (ed.), X Wu (ed.)

2014 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOP (ICDMW) | IEEE | Published : 2014

Abstract

Time lapse fluorescence microscopy can be used to monitor the behaviour of individual cells over time, but the imaging results can be affected by the inherent problem of overlapping emission spectra, commonly referred to as cross-talk. Various spectral unmixing methods have been adopted to solve this problem, thereby estimating the original signal from the observed mixture. The methods for evaluating the quality of spectral unmixing are usually based on the reference objects: a set of pixels where one of the signals is present while another is absent. However, reference objects are not always readily available, particularly in experiments that involve multi-colour fluorescence reporters. Mor..

View full abstract