Evidence map›Paper›PMID 38155727›Full record

ArticleChemical & biomedical imaging2023

An Image Processing Algorithm for Facile and Reproducible Quantification of Vomocytosis.

Neeraj Senthil, Noah Pacifici, Melissa Cruz-Acuña, Agustina Diener, Hyunsoo Han, Jamal S Lewis

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Neeraj SenthilDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.
Noah PacificiDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.
Melissa Cruz-AcuñaDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.
Agustina DienerDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.
Hyunsoo HanDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.
Jamal S LewisDepartment of Biomedical Engineering, University of California - Davis, Davis, California 95616, United States.ORCID https://orcid.org/0000-0002-9811-8538

Funding

Leveraging Engineering Approaches to understand Cryptococcal Vomocytosis from Immune CellsR35GM125012 · NIGMS · UNIVERSITY OF FLORIDA · PI Jamal S Lewis · 2017 to 2026
$3.2M
Predoctoral Training in Pharmacological SciencesT32GM099608 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HELL, JOHANNES W · 2012 to 2021
$2.2M
Particulate-based in vivo modulation for immunotherapy of Rheumatoid ArthritisR01AI139399 · NIAID · UNIVERSITY OF FLORIDA · PI LEWIS, JAMAL S · 2019 to 2023
$1.9M
NIAID NIH HHS R01 AI139399NIGMS NIH HHS R35 GM125012NIGMS NIH HHS T32 GM099608
6 · The paper itself

Abstract

Vomocytosis is a process that occurs when internalized fungal pathogens escape from phagocytes without compromising the viability of the pathogen and the host cell. Manual quantification of time-lapse microscopy videos is currently used as the standard to study pathogen behavior and vomocytosis incidence. However, human-driven quantification of vomocytosis (and the closely related phenomenon, exocytosis) is incredibly burdensome, especially when a large volume of cells and interactions needs to be analyzed. In this study, we designed a MATLAB algorithm that measures the extent of colocalization between the phagocyte and fungal cell (

Identifiers

PMID38155727
PMCPMC10751783

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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.