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- Alm, Kersti, et al.
(författare)
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Digital holography and cell studies
- 2011
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Ingår i: Holography, Research and Technologies. - : DKV - Deutscher Kälte- und Klimatechnischer Verein. - 9789533072272 ; , s. 237-252
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Digital holography microscopy (DHM) has developed into a broad field, and one of all the interesting applications is to study cells without staining, labeling or in any other way affecting them. Both fixed and living, dying or dead cells can be studied. The first DHM images showing living cells were published in 2004 and 2005 (Carl et al. 2004, Marquet et al. 2005), making this field of research rather new. Digital holography makes it possible to easily measure cell properties that previously have been very difficult to study, such as cell thickness and volume (Marquet et al. 2005, Mölder et al. 2008). Two of the major advantages of DHM is the 3-D imaging possibility and measurements over time. Digital holography has ben used to study several types of cells, such as nerve cells, red blood cells, stem cells and cancer cells (Emery et al. 2007, Kemper et al. 2006, Langehanenberg et al. 2009) . It has also been applied for studies of cell proliferation, cell movement, sub-cellular structures and cell morphology (Kemper et al. 2009, Yu et al. 2009). Both 2-D and 3-D cell movement can be determined ( Langehanenberg et al. 2009). Even cell viability status can be determined using DHM. Interestingly, it is possible to study both single cells and entire populations simultaneously, allowing for very nuanced studies. Older, well known techniques often require some degree of cell disturbance such as the fluorescent antibody labeling required for fluorescense or confocal microscopy studies. In this paper we will present some of the studies made possible by DHM. We will compare DHM with previously used techniques and discuss the benefits and drawbacks of digital holography cell measurements.
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| 2. |
- Mölder, Anna Leida, et al.
(författare)
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Supervised classification of etoposide-treated in vitro adherent cells based on noninvasive imaging morphology
- 2017
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Ingår i: Journal of Medical Imaging. - : SPIE - International Society for Optical Engineering. ; 4:2
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Tidskriftsartikel (refereegranskat)abstract
- Single-cell studies using noninvasive imaging is a challenging, yet appealing way to study cellular characteristics over extended periods of time, for instance to follow cell interactions and the behavior of different cell types within the same sample. In some cases, e.g., transplantation culturing, real-time cellular monitoring, stem cell studies, in vivo studies, and embryo growth studies, it is also crucial to keep the sample intact and invasive imaging using fluorophores or dyes is not an option. Computerized methods are needed to improve throughput of image-based analysis and for use with noninvasive microscopy such methods are poorly developed. By combining a set of well-documented image analysis and classification tools with noninvasive microscopy, we demonstrate the ability for long-term image-based analysis of morphological changes in single cells as induced by a toxin, and show how these changes can be used to indicate changes in biological function. In this study, adherent cell cultures of DU-145 treated with low-concentration (LC) etoposide were imaged during 3 days. Single cells were identified by image segmentation and subsequently classified on image features, extracted for each cell. In parallel with image analysis, an MTS assay was performed to allow comparison between metabolic activity and morphological changes after long-term low-level drug response. Results show a decrease in proliferation rate for LC etoposide, accompanied by changes in cell morphology, primarily leading to an increase in cell area and textural changes. It is shown that changes detected by image analysis are already visible on day 1 for [Formula: see text] etoposide, whereas effects on MTS and viability are detected only on day 3 for [Formula: see text] etoposide concentration, leading to the conclusion that the morphological changes observed occur before and at lower concentrations than a reduction in cell metabolic activity or viability. Three classifiers are compared and we report a best case sensitivity of 88% and specificity of 94% for classification of cells as treated/untreated.
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