ArticleJournal of immunology (Baltimore, Md. : 1950)2019
Chrysalis: A New Method for High-Throughput Histo-Cytometry Analysis of Images and Movies.
Article in Journal of immunology (Baltimore, Md. : 1950), 2019. 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
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.
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, 17 citations in OpenAlex.
- Strong, sustained type I IFN signaling acts cell intrinsically to impair IFNγ responses and cause tuberculosis susceptibility.Cell host & microbe · 2026Article
- Interleukin-1 receptor antagonist is a conserved early factor for exacerbating tuberculosis susceptibility.bioRxiv : the preprint server for biology · 2025Article
- Article
- The cyclic dinucleotide 2'3'-cGAMP induces a broad antibacterial and antiviral response in the sea anemoneProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Review
- How to dissect the plasticity of antigen-specific immune response: a tissue perspective.Clinical and experimental immunology · 2020Review
- TCR Affinity Biases Th Cell Differentiation by Regulating CD25, Eef1e1, and Gbp2.Journal of immunology (Baltimore, Md. : 1950) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Advances in imaging have led to the development of powerful multispectral, quantitative imaging techniques, like histo-cytometry. The utility of this approach is limited, however, by the need for time consuming manual image analysis. We therefore developed the software Chrysalis and a group of Imaris Xtensions to automate this process. The resulting automation allowed for high-throughput histo-cytometry analysis of three-dimensional confocal microscopy and two-photon time-lapse images of T cell-dendritic cell interactions in mouse spleens. It was also applied to epi-fluorescence images to quantify T cell localization within splenic tissue by using a "signal absorption" strategy that avoids computationally intensive distance measurements. In summary, this image processing and analysis software makes histo-cytometry more useful for immunology applications by automating image analysis.
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Identifiers
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.