ArticleJournal of pathology informatics2018
Constant Quest for Quality: Digital Cytopathology.
Article in Journal of pathology informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Implementing 100% quality control in a cervical cytology workflow using whole slide images and artificial intelligence provided by the Techcyte SureView™ System.Cancer cytopathology · 2025Article
- Automated recognition and segmentation of lung cancer cytological images based on deep learning.PloS one · 2025Article
- Deep convolutional neural network-based classification of cancer cells on cytological pleural effusion images.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Virtual Microscopy in Undergraduate Pathology Education: An early transformative experience in clinical reasoning.Sultan Qaboos University medical journal · 2021Article
- Utilization of cytology smears improves success rates of RNA-based next-generation sequencing gene fusion assays for clinically relevant predictive biomarkers.Cancer cytopathology · 2021Article
- Experience Reviewing Digital Pap Tests using a Gallery of Images.Journal of pathology informatics · 2021Article
- Whole Slide Imaging (WSI) in Pathology: Current Perspectives and Future Directions.Journal of digital imaging · 2020Review
- Immune contexture analysis in immuno-oncology: applications and challenges of multiplex fluorescent immunohistochemistry.Clinical & translational immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSpecial consideration should be given when creating and selecting cytopathology specimens for digitization to maximize quality. Advances in scanning and viewing technology can also improve whole-slide imaging (WSI) output quality.
methodsAccumulated laboratory experience with digitization of glass cytopathology slides was collected.
resultsThis paper describes characteristics of a cytopathology glass slide that can reduce quality on resulting WSI. Important points in the glass cytopathology slide selection process, preparation, scanning, and WSI-editing process that will maximize the quality of the resulting acquired digital image are covered. The paper outlines scanning solutions which have potential to predict issues with a glass cytopathology slide before image acquisition, allowing for adjustment of the scanning approach. WSI viewing solutions that better simulate the traditional microscope experience are also discussed.
conclusionIn addition to taking advantage of technical advances, practical steps can taken to maximize quality of cytopathology WSI.
Indexed as
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What OpenQuestion holds
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.