MCount has two adjustable hyperparameters, <i>d</i> and <i>λ</i>, which control the contour fineness and constrain the circle number, respectively.

MCount has two adjustable hyperparameters, <i>d</i> and <i>λ</i>, which control the contour fineness and constrain the circle number, respectively.

<p><b>(a)</b> The number of contour segments decreases as <i>d</i> increases, but excessively large <i>d</i> may lead to a failure to recognize merged colonies. The original image has two colonies. <b>(b)</b> The average error rate on the segment...

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Bibliographic Details
Main Author:	Sijie Chen (1622476) (author)
Other Authors:	Po-Hsun Huang (183737) (author), Hyungseok Kim (14635448) (author), Yuhe Cui (20902959) (author), Cullen R. Buie (471587) (author)
Published:	2025
Subjects:	Biophysics Biochemistry Molecular Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified escherichia coli </ average error rate assessing microbial growth requires two hyperparameters regional candidate circles propose statistical methods efficient colony counting limited labeled data div >< p 54 %), autocellseg accurate colony counting colony counting 54 %), regional algorithms hyperparameters using propose mcount throughput workflows throughput plating promising solution precisely labeled merged colonies known solution facilitate deployment contour information common occurrence accurately infer 960 images 847 segments 31 %).
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