Title: Digital image processing of live/dead staining
Authors: Spaepen, Pieter ×
De Boodt, Sebastian
Aerts, Jean-Marie
Vander Sloten, Jos #
Issue Date: 2011
Series Title: Methods in Molecular Biology vol:740 pages:209-230
Article number: 21
Abstract: The quantification of live and dead cells in a substrate is often an essential step in cell biology research. A
staining protocol that acts differently on live and on dead cells is applied and the number of cells visible
is counted using a microscope. Often this counting is done manually or only evaluated qualitatively. If
the number of samples to be analyzed is large, counting live and dead cells will become a labor intensive,
and in some cases an unreliable, process. The manual procedure also discards potentially relevant information
on the cells beyond their live or dead classification. For example, cell size, shape and distribution
cannot be measured manually. Thus, developing a software routine to replace the counting process can
result in an increase of both efficiency and quality of the data gathering process. Whether or not the time
and/or money spent on creating a dedicated computer algorithm is worthwhile, depends on a large
number of factors of which some are specific to the samples and some to the technical expertise available.
In a large percentage of cases, creating a computer algorithm may be easier than expected. In order for
the reader to correctly asses the difficulty level of his/her specific case, an outline on how to tackle the
problem is presented within this chapter. The basic concepts of digital imaging, explained in a possible
step by step approach, is offered. It is important to be able to estimate the difficulty level for each specific
case. Based on a series of questions the potential of creating a computer algorithm can be offset by the
costs to be expected.
ISSN: 1064-3745
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Biomechanics Section
Division M3-BIORES: Measure, Model & Manage Bioresponses (-)
Technologiecluster Werktuigkundige Industriƫle Ingenieurstechnieken
Mechanical Engineering Technology TC, Technology Campus Geel
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
DigitalImageprocessing.pdf Accepted 1193KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.