Fluoro-forest: a random forest workflow for cell type annotation in high-dimensional immunofluorescence imaging with limited training data

Authors

Evie H. Carchman (ORCID: https://orcid.org/0000-0002-5536-7761)
Joshua Brand (ORCID: https://orcid.org/0000-0002-4578-4860)
Huy Q. Dinh (ORCID: https://orcid.org/0000-0002-3307-1126)
Wei Zhang (ORCID: https://orcid.org/0000-0003-3094-9711)

Institutions

University of Wisconsin–Madison (US)
University of Wisconsin Carbone Cancer Center (US)
University of Kansas Medical Center (US)
William S. Middleton Memorial Veterans Hospital (US)

Publication Details

Journal: Bioinformatics Advances
Published: 2025-12-22
DOI: https://doi.org/10.1093/bioadv/vbaf320
Citations: 1
Primary Topic: Cell Image Analysis Techniques
Type: article
Field-Weighted Citation Impact: 1.63

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Fluoro-forest: a random forest workflow for cell type annotation in high-dimensional immunofluorescence imaging with limited training data

Evie H. Carchman, Joshua Brand, Huy Q. Dinh, Wei Zhang

Dec 22, 2025

1 citations

Bioinformatics Advances

Cell Image Analysis Techniques

1.63

article

Fluoro-forest: a random forest workflow for cell type annotation in high-dimensional immunofluorescence imaging with limited training data

Evie H. Carchman, Joshua Brand, Huy Q. Dinh, Wei Zhang

December 22, 2025article en

1 citations

Abstract

No abstract available for this paper.

Bioinformatics AdvancesVol. 6(1)

University of Wisconsin–Madison (US), University of Wisconsin Carbone Cancer Center (US), University of Kansas Medical Center (US), William S. Middleton Memorial Veterans Hospital (US)

Openalex Percentile: Top 10%

Cell Image Analysis Techniques

1.63

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.