ReviewHistochemistry and cell biology2021
Volume electron microscopy: analyzing the lung.
Review in Histochemistry and cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Multidimensional lung imaging: integrated preclinical platforms enabling the identification of translational biomarkers for pulmonary research.Respiratory research · 2026Review
- Ultrastructural perspectives on the enteric nervous system in Parkinson's disease.Frontiers in neuroscience · 2026Review
- Nanoscale Imaging of Biological Tissues: Techniques, Challenges and Emerging Frontiers.Nanomaterials (Basel, Switzerland) · 2025Review
- Three-dimensional characteristics of the alveolar capillary network in infant and adult human lungs.Pediatric research · 2025Article
- Morphological and molecular aspects of lung development.Histology and histopathology · 2025Review
- Advancing yeast cell analysis: A cryomethod for serial block-face scanning electron microscopy imaging in mitochondrial morphology studies.Biology of the cell · 2025Article
- Distribution and volume of mitochondria in alveolar epithelial type 1 cells in infant and adult human lungs.Histochemistry and cell biology · 2024Article
- Article
- Airway Cells 3D Reconstruction via Manual and Machine-Learning Aided Segmentation of Volume EM Datasets.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Uncovering the cytotoxic effects of air pollution with multi-modal imaging ofRoyal Society open science · 2023Review
- Spermidine supplementation influences mitochondrial number and morphology in the heart of aged mice.Journal of anatomy · 2023Article
- How innovations in methodology offer new prospects for volume electron microscopy.Journal of microscopy · 2022Review
- Volume electron microscopy.Nature reviews. Methods primers · 2022Article
- Computational lung modelling in respiratory medicine.Journal of the Royal Society, Interface · 2022Review
- Hierarchical ultrastructure: An overview of what is known about tendons and future perspective for tendon engineering.Bioactive materials · 2022Review
- Introduction: 3D imaging in lung biology.Histochemistry and cell biology · 2021Article
- Ultrastructural 3D Microscopy for Biomedicine: Principles, Applications, and Perspectives.Acta naturaeArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Since its entry into biomedical research in the first half of the twentieth century, electron microscopy has been a valuable tool for lung researchers to explore the lung's delicate ultrastructure. Among others, it proved the existence of a continuous alveolar epithelium and demonstrated the surfactant lining layer. With the establishment of serial sectioning transmission electron microscopy, as the first "volume electron microscopic" technique, electron microscopy entered the third dimension and investigations of the lung's three-dimensional ultrastructure became possible. Over the years, further techniques, ranging from electron tomography over serial block-face and focused ion beam scanning electron microscopy to array tomography became available. All techniques cover different volumes and resolutions, and, thus, different scientific questions. This review gives an overview of these techniques and their application in lung research, focusing on their fields of application and practical implementation. Furthermore, an introduction is given how the output raw data are processed and the final three-dimensional models can be generated.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.