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Updated: Aug 18, 2026

Mapping Absolute DNA Density in Cell Nuclei using Single-molecule Localization Microscopy
Published on: November 11, 2025
Nano-sizing of specific gene domains in intact human cell nuclei by spatially modulated illumination light microscopy
Georg Hildenbrand1, Alexander Rapp, Udo Spöri
1Applied Optics and Information Processing, Kirchhoff-Institute of Physics, University of Heidelberg, Germany.
Abstract:
Although light microscopy and three-dimensional image analysis have made considerable progress during the last decade, it is still challenging to analyze the genome nano-architecture of specific gene domains in three-dimensional cell nuclei by fluorescence microscopy. Here, we present for the first time chromatin compaction measurements in human lymphocyte cell nuclei for three different, specific gene domains using a novel light microscopic approach called Spatially Modulated Illumination microscopy. Gene domains for p53, p58, and c-myc were labeled by fluorescence in situ hybridization and the sizes of the fluorescence in situ hybridization "spots" were measured. The mean diameters of the gene domains were determined to 103 nm (c-myc), 119 nm (p53), and 123 nm (p58) and did not correlate to the genomic, labeled sequence length. Assuming a spherical domain shape, these values would correspond to volumes of 5.7 x 10(-4) microm(3) (c-myc), 8.9 x 10(-4) microm(3) (p53), and 9.7 x 10(-4) microm(3) (p58). These volumes are approximately 2 orders of magnitude smaller than the diffraction limited illumination or observation volume, respectively, in a confocal laser scanning microscope using a high numerical aperture objective lens. By comparison of the labeled sequence length to the domain size, compaction ratios were estimated to 1:129 (p53), 1:235 (p58), and 1:396 (c-myc). The measurements demonstrate the advantage of the SMI technique for the analysis of gene domain nano-architecture in cell nuclei. The data indicate that chromatin compaction is subjected to a large variability which may be due to different states of genetic activity or reflect the cell cycle state.
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