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Stereology is the method of choice for the quantitative assessment of biological objects in microscopy. It takes into account the fact that, in traditional microscopy such as conventional light and transmission electron microscopy, although one has to rely on measurements on nearly two-dimensional sections from fixed and embedded tissue samples, the quantitative data obtained by these measurements should characterize the real three-dimensional properties of the biological objects and not just their "flatland" appearance on the sections. Thus, three-dimensionality is a built-in property of stereological sampling and measurement tools. Stereology is, therefore, perfectly suited to be combined with 3D imaging techniques which cover a wide range of complementary sample sizes and resolutions, e.g. micro-computed tomography, confocal microscopy and volume electron microscopy. Here, we review those stereological principles that are of particular relevance for 3D imaging and provide an overview of applications of 3D imaging-based stereology to the lung in health and disease. The symbiosis of stereology and 3D imaging thus provides the unique opportunity for unbiased and comprehensive quantitative characterization of the three-dimensional architecture of the lung from macro to nano scale.
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http://dx.doi.org/10.1007/s00418-020-01927-0 | DOI Listing |
Trends Cogn Sci
September 2025
Department of Cognitive and Psychological Science, Brown University, Thayer Street, Providence, RI 02906, USA; Robert J. and Nancy D. Carney Institute for Brain Sciences, Brown University, Angell Street, Providence, RI 02906, USA.
Neuroscience
September 2025
Laboratory for Molecular and Developmental Biology, Institute for Protein Research, Osaka University, 3-2 Yamadaoka, Suita, Osaka 565-0871, Japan. Electronic address:
Visual motion perception declines during natural aging in most animals including humans. Edible berries of blackcurrant (BC) and its extracted anthocyanins (BCAs) have beneficial effects on human eyes. However, the effect of BCAs on the perception of moving objects and other dynamic visual patterns remains unknown.
View Article and Find Full Text PDFGigascience
January 2025
Center for Cancer Research, Comprehensive Cancer Center, Medical University of Vienna, 1090 Vienna, Austria.
Background: Pancreatic ductal adenocarcinoma (PDAC), the most common and aggressive form of pancreatic cancer, exhibits profound intratumor morphological heterogeneity, complicating the elucidation of the underlying molecular mechanisms driving its progression.
Results: We present and validate an optimized framework for RNA sequencing (RNA-seq) of multiple spatially resolved laser micro-dissected tumor areas (LMD-seq), along with methodological and analytical details to maximize reproducibility and data mining. This approach enhances sensitivity in detecting lowly expressed genes, outperforming single-cell RNA-seq methods, particularly in identifying rare tumor cell populations and transcriptional programs with low expression.
Psychophysiology
September 2025
Biological Psychology and Neuroergonomics, Technical University of Berlin, Berlin, Germany.
We designed an object interception task using virtual reality and mobile brain/body imaging to test two core hypotheses of ecological psychology and radical embodied cognitive (neuro)science: the ecological resonance hypothesis and the information-based control laws hypothesis. These two hypotheses define an alternative explanatory strategy that aims to understand the organization and control of behavior without appealing to internal models or representations of any kind. The ecological resonance hypothesis was evaluated in relation to the ecological variable known as tau (τ) or time-to-contact (TTC).
View Article and Find Full Text PDFWith the increasing volume of biomedical experimental data, standardizing, sharing, and integrating heterogeneous experimental data across domains has become a major challenge. To address this challenge, we have developed an ontology-supported Study-Experiment-Assay (SEA) common data model (CDM), which includes 10 core and 3 auxiliary classes based on object-oriented modeling. SEA CDM uses interoperable ontologies for data standardization and knowledge inference.
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