| dc.rights.license | CC-BY-NC-ND | |
| dc.contributor.advisor | Externe beoordelaar - External assesor, | |
| dc.contributor.author | Wekking, Mark | |
| dc.date.accessioned | 2023-01-01T00:00:49Z | |
| dc.date.available | 2023-01-01T00:00:49Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/43378 | |
| dc.description.sponsorship | Utrecht University | |
| dc.language.iso | EN | |
| dc.subject | The aim of this study was to investigate the flexibility of Cellprofiler. Cellprofiler is a platform that is designed to analyze real-life microscopy images. In this paper, we describe how Cellprofiler can be used to: Differentiate nuclei based on the cell type in primary cardiac tissue; Analyze nuclei size in primary cardiac tissue; Analyze the nuclear structure of LMNA KO- and KD-clones in an intestinal organoid model; Differentiate the polarization of membrane layers in intestinal. | |
| dc.title | Multi-purpose high-throughput image
analysis using CellProfiler | |
| dc.type.content | Master Thesis | |
| dc.rights.accessrights | Open Access | |
| dc.subject.courseuu | Molecular and Cellular Life Sciences | |
| dc.thesis.id | 1072 | |
