Authors
Zahra El-Schich, Sofia Kamlund, Birgit Janicke, Kersti Alm and Anette Gjörloff Wingren
Abstract
Digital
holographic (DH) microscopy is a digital high-resolution holographic
imaging technique with the capacity of quantification of cellular
conditions without any staining or labeling of cells.
The unique
measurable parameters are the cell number, cell area, thickness, and
volume, which can be coupled to proliferation, migration, cell cycle
analysis, viability, and cell death.
The technique is cell friendly,
fast and simple to use and has unique imaging capabilities for
time-lapse investigations on both the single cell and the
cell-population levels.
The interest for analyzing specifically cell
volume changes with DH microscopy, resulting from cytotoxic treatments,
drug response, or apoptosis events has recently increased in popularity.
We and others have used DH microscopy showing that the technique has
the sensitivity to distinguish between different cells and treatments.
Recently, DH microscopy has been used for cellular diagnosis in the
clinic, providing support for using the concept of DH, e.g., screening
of malaria infection of red blood cells (RBC), cervix cancer screening,
and sperm quality.
Because of its quick and label-free sample handling,
DH microscopy will be an important tool in the future for personalized
medicine investigations, determining the optimal therapeutic
concentration for both different cancer types and individual treatments.
Conclusion
The
correlation between cellular morphological changes and cellular events
is rather well documented.
In several studies, researchers have shown
how holographic cell morphology analysis can be connected to
pathological diagnostics.
Although the experiments in some cases have
been performed ex vivo or in animal models, the analysis of humans is
just one small step ahead.
For other of the abovementioned applications,
experiments are performed with human tissues, and the methods are
already beginning to be developed for clinical use.
As DH microscopy is
noninvasive, the same patient sample can often be used for other
analyses, thus adding further benefit to the method.
Inga kommentarer:
Skicka en kommentar