FIGURE

Fig 4

ID

ZDB-FIG-231209-4

Publication

Efromson et al., 2023 - Automated, high-throughput quantification of EGFP-expressing neutrophils in zebrafish by machine learning and a highly-parallelized microscope

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Fig 4

Algorithmic versus manual cell counting for experimental conditions.

A) Knockdown and chemical modulation of zebrafish neutrophil counts. A csf3r antisense morpholino (MO) was injected into one-cell stage zebrafish embryos reducing neutrophil counts at 72 hpf (N = 95 larvae). Another subset of zebrafish were treated with 2 μM dibutyl phthalate (DBP), from 6 to 72 hpf, also reducing neutrophil counts but by a more subtle degree (N = 23 larvae). Neutrophil counts were obtained manually and by using the algorithmic pipeline and compared for all groups including untreated Tg(lyz:EGFP) (N = 93 larvae) fish and non-EGFP wild-type (WT) fish (N = 96 larvae). Data points show average neutrophil count and error bars represent the standard error of each experimental group. p-values were computed using a Mann-Whitney U test. * = p ≤ 0.05, ns = no significance. B) Linear regression displaying strong correlation between manual and algorithmic counts for all conditions.

Expression Data

Expression Detail

Antibody Labeling

Phenotype Data

Phenotype Detail

Acknowledgments

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