2026-10-12T16:35:16Z
https://api.figshare.com/v2/oai
oai:figshare.com:article/33867290
2026-09-16T17:49:51Z
category_146
category_21
category_272
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month_year_09_2026
<p>Performance comparison of manual thresholding and nnU-Net segmentation for cytopathic effect area–based viral quantification. LLOQ, lower limit of quantification; ULOQ, upper limit of quantification; MAE, mean absolute error in log<sub>10</sub>-transformed PFU/mL. Accuracy proportions are reported with Wilson 95% confidence intervals. Plate-level standard deviation (SD) and range represent variability in mean MAE across plates.</p>
Michael J. Murphy (8704281)
Steven Mazur (191023)
Elena N. Postnikova (6639908)
Brett P. Eaton (10686096)
Gregory A. Kocher (24998891)
Winston Chu (24998894)
Matthew G. Lackemeyer (23632290)
Syed Qasim Gilani (24998897)
Jens H. Kuhn (6639929)
Michael R. Holbrook (7314278)
C. Paul Morris (7377590)
Space Science
Biotechnology
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer
Virology
via cell lysis
thereby greatly accelerating
routine laboratory task
reduce user bias
quantify infectious virions
induced cytopathic effect
96 -, 384
require manual work
assay automation constraints
identified cpe area
cpe area selection
automated image segmentation
>< sup ><
manual thresholding (<
improve analysis efficiency
well image thresholding
cpe area assay
div >< p
throughput screening formats
manual thresholding
throughput formats
assay range
well plates
automated quantification
></ sup
enhances throughput
streamlines analysis
reliable analysis
analysis based
uses whole
typically performed
traditional infectivity
tolerates adjustments
thus demonstrating
scalable alternative
r </
plaque assays
measuring virus
legacy protocols
images segmented
flagging samples
decreasing subjectivity
concentration thresholds
challenging due
best positioned
2 </
<p>Performance comparison of manual thresholding and nnU-Net segmentation for cytopathic effect area–based viral quantification. LLOQ, lower limit of quantification; ULOQ, upper limit of quantification; MAE, mean absolute error in log<sub>10</sub>-transformed PFU/mL. Accuracy proportions are reported with Wilson 95% confidence intervals. Plate-level standard deviation (SD) and range represent variability in mean MAE across plates.</p>
2026-09-16T18:03:10Z
Dataset
Dataset
10.1371/journal.pcbi.1013511.t001
https://figshare.com/articles/dataset/_p_Performance_comparison_of_manual_thresholding_and_nnU-Net_segmentation_for_cytopathic_effect_area_based_viral_quantification_LLOQ_lower_limit_of_quantification_ULOQ_upper_limit_of_quantification_MAE_mean_absolute_error_in_log_sub_10_sub_/33867290
CC BY 4.0