SimMolCC: A Similarity of Automatically Detected Bio-Molecule Clusters between Fluorescent Cells
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Published:2024-09-06
Issue:17
Volume:14
Page:7958
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Hattori Shun1ORCID, Miki Takafumi2ORCID, Sanjo Akisada3, Kobayashi Daiki2, Takahara Madoka4
Affiliation:
1. Faculty of Advanced Engineering, The University of Shiga Prefecture, 2500 Hassaka-cho, Hikone 522-8533, Japan 2. Graduate School of Medicine, Akita University, 1-1-1 Hondo, Akita 010-8543, Japan 3. Faculty of Medicine, Akita University, Akita 010-8543, Japan 4. Faculty of Advanced Science and Technology, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu 520-2194, Japan
Abstract
In the field of studies on the “Neural Synapses” in the nervous system, its experts manually (or pseudo-automatically) detect the bio-molecule clusters (e.g., of proteins) in many TIRF (Total Internal Reflection Fluorescence) images of a fluorescent cell and analyze their static/dynamic behaviors. This paper proposes a novel method for the automatic detection of the bio-molecule clusters in a TIRF image of a fluorescent cell and conducts several experiments on its performance, e.g., mAP @ IoU (mean Average Precision @ Intersection over Union) and F1-score @ IoU, as an objective/quantitative means of evaluation. As a result, the best of the proposed methods achieved 0.695 as its mAP @ IoU = 0.5 and 0.250 as its F1-score @ IoU = 0.5 and would have to be improved, especially with respect to its recall @ IoU. But, the proposed method could automatically detect bio-molecule clusters that are not only circular and not always uniform in size, and it can output various histograms and heatmaps for novel deeper analyses of the automatically detected bio-molecule clusters, while the particles detected by the Mosaic Particle Tracker 2D/3D, which is one of the most conventional methods for experts, can be only circular and uniform in size. In addition, this paper defines and validates a novel similarity of automatically detected bio-molecule clusters between fluorescent cells, i.e., SimMolCC, and also shows some examples of SimMolCC-based applications.
Funder
Japan Society for the Promotion of Science
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