M-Count: an application that uses machine learning object detection and color thresholding to count settled mussel larvae

Lance W. Miller; Navaj Nune; Thomas B. LeFevre; Clare N. Hermanson; Joseph D. Daddona; Anita C. Valdez; A. Kannan; Wilaiwan Chouyyok; George T. Bonheyo; Man Bock Gu; Curtis Larimer

doi:10.1039/d5ay01759a

January 1, 2026Analytical MethodsOpen Access

M-Count: an application that uses machine learning object detection and color thresholding to count settled mussel larvae

View Full Paper

Ask AI

Bookmark

Share

Key Points

This research aims to develop an application that improves the counting accuracy and efficiency of mussel larvae in biofouling assessments.
Developed M-Count application utilizing machine learning techniques.
Implemented object detection algorithms to identify mussel larvae.
Applied color thresholding methods for enhanced visibility of larvae.
M-Count achieved counting accuracy comparable to human observers.
Significantly reduced time required to quantify mussel larvae on test surfaces.

Ask about this paper

Answers are grounded in this paper and cite their sources.

Implication

Application quantifies mussel larvae fouling accurately in less time than human counting, suggesting effective monitoring of biofouling.

Abstract

Quantification of biofouling is a complex task that often involves counting both isolated and tightly packed groups of organisms on a test surface. M-Count quantifies mussel larvae fouling as accurately as humans but in a fraction of the time.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Miller et al. (2026) studied this question.

synapsesocial.com/papers/6974606dbb9d90c67120a515 https://doi.org/10.1039/d5ay01759a

View Full Paper

Ask AI

Bookmark

Share

M-Count: an application that uses machine learning object detection and color thresholding to count settled mussel larvae

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

M-Count: an application that uses machine learning object detection and color thresholding to count settled mussel larvae

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Keep reading

Keep reading