ArticleJournal of pathology informatics2018
Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools.
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 7 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
7 citing papers in PubMed.
- LMDmapper: an open-source desktop tool for spatial mapping of laser microdissection samples.Open research Europe · 2026Article
- Laser capture microdissection.Nature reviews. Methods primers · 2025Article
- Image-Enabled Cell Sorting Using the BD CellView Technology.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022Article
- Effect of Antigen Retrieval on Genomic DNA From Immunodissected Samples.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2022Article
- Laser Capture Proteomics: spatial tissue molecular profiling from the bench to personalized medicine.Expert review of proteomics · 2021Review
- Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue.Journal of visualized experiments : JoVE · 2020Article
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
introductionThe development and application of new molecular diagnostic assays based on next-generation sequencing and proteomics require improved methodologies for procurement of target cells from histological sections. Laser microdissection can successfully isolate distinct cells from tissue specimens based on visual selection for many research and clinical applications. However, this can be a daunting task when a large number of cells are required for molecular analysis or when a sizeable number of specimens need to be evaluated. MATERIALS AND
methodsTo improve the efficiency of the cellular identification process, we describe a microdissection workflow that leverages recently developed and open source image analysis algorithms referred to as computer-aided laser dissection (CALD). CALD permits a computer algorithm to identify the cells of interest and drive the dissection process.
resultsWe describe several "use cases" that demonstrate the integration of image analytic tools probabilistic pairwise Markov model, ImageJ, spatially invariant vector quantization (SIVQ), and eSeg onto the ThermoFisher Scientific ArcturusXT and Leica LMD7000 microdissection platforms.
conclusionsThe CALD methodology demonstrates the integration of image analysis tools with the microdissection workflow and shows the potential impact to clinical and life science applications.
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Registered trials
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