ArticleJournal of chemical neuroanatomy2017
Unbiased estimation of cell number using the automatic optical fractionator.
Article in Journal of chemical neuroanatomy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- A semi-automated pipeline integrating ImageJ/Fiji and StarDist for the reproducible quantification of cellular and optical density metrics in immunofluorescence images of brain tissue.Frontiers in neuroanatomy · 2026Article
- Deep learning-based image analysis identifies a DAT-negative subpopulation of dopaminergic neurons in the lateral Substantia nigra.Communications biology · 2023Article
- Excitable Axonal Domains Adapt to Sensory Deprivation in the Olfactory System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- A Fiber-Rich Diet and Radiation-Induced Injury in the Murine Intestinal Mucosa.International journal of molecular sciences · 2021Article
- Age-dependent neuroprotective effect of an SK3 channel agonist on excitotoxity to dopaminergic neurons in organotypic culture.PloS one · 2020Article
- Blood Vessels and Perivascular Phagocytes of Prefrontal White and Gray Matter in Suicide.Journal of neuropathology and experimental neurology · 2019Article
- Implementation of deep neural networks to count dopamine neurons in substantia nigra.The European journal of neuroscience · 2018Article
- Application of the Physical Disector Principle for Quantification of Dopaminergic Neuronal Loss in a Rat 6-Hydroxydopamine Nigral Lesion Model of Parkinson's Disease.Frontiers in neuroanatomy · 2017Article
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Authors and funding
6 authors.
Funding
Abstract
A novel stereology approach, the automatic optical fractionator, is presented for obtaining unbiased and efficient estimates of the number of cells in tissue sections. Used in combination with existing segmentation algorithms and ordinary immunostaining methods, automatic estimates of cell number are obtainable from extended depth of field images built from three-dimensional volumes of tissue (disector stacks). The automatic optical fractionator is more accurate, 100% objective and 8-10 times faster than the manual optical fractionator. An example of the automatic fractionator is provided for counts of immunostained neurons in neocortex of a genetically modified mouse model of neurodegeneration. Evidence is presented for the often overlooked prerequisite that accurate counting by the optical fractionator requires a thin focal plane generated by a high optical resolution lens.
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Registered trials
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