Mara Smite, Mihails Birjukovs, Peteris Zvejnieks, Ivars Drikis, Guntars Kitenbergs, Andrejs Cebers
{"title":"对趋磁细菌运动的显式分析揭示了磁矩的长度标度","authors":"Mara Smite, Mihails Birjukovs, Peteris Zvejnieks, Ivars Drikis, Guntars Kitenbergs, Andrejs Cebers","doi":"10.1016/j.bpj.2025.06.008","DOIUrl":null,"url":null,"abstract":"Magnetotactic bacteria (MTB) are a diverse group of microorganisms whose movement can be directed via a magnetic field, which makes them attractive for applications in medicine and microfluidics. One of their key properties is the magnetic moment <ce:italic>m</ce:italic>, which is challenging to measure. We perform optical imaging experiments with MSR-1 MTB, and derive both the <ce:italic>m</ce:italic> statistics and the scaling of <ce:italic>m</ce:italic> with the MTB size using an explicit and fully automated method to determine <ce:italic>m</ce:italic> from the MTB trajectories via the U-turn protocol, which measures <ce:italic>m</ce:italic> based on the U-shaped trajectories exhibited by the MTB in an applied alternating magnetic field. The proposed method is an alternative to the standard U-turn time-based moment calculation and uses the theoretical U-turn shape function we have derived. This directly accounts for the U-turn geometry and determines the moment from the U-turn branch width. We couple this approach with a robust U-turn decomposition algorithm that detects U-turns from MTB tracks regardless of their orientations. We report a linear dependence of <ce:italic>m</ce:italic> on the size of the bacteria, accounting for the bacteria velocity variations during the U-turns. We also show that the new U-turn shape-based and the conventional time-based methods produce significantly different results. The proposed method can be used to differentiate between various types of MTB within the same population based on their velocity and magnetic moments, and to precisely characterize the magnetic properties of a culture.","PeriodicalId":8922,"journal":{"name":"Biophysical journal","volume":"5 1","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explicit analysis of magnetotactic bacteria motion reveals the length scaling of magnetic moments\",\"authors\":\"Mara Smite, Mihails Birjukovs, Peteris Zvejnieks, Ivars Drikis, Guntars Kitenbergs, Andrejs Cebers\",\"doi\":\"10.1016/j.bpj.2025.06.008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Magnetotactic bacteria (MTB) are a diverse group of microorganisms whose movement can be directed via a magnetic field, which makes them attractive for applications in medicine and microfluidics. One of their key properties is the magnetic moment <ce:italic>m</ce:italic>, which is challenging to measure. We perform optical imaging experiments with MSR-1 MTB, and derive both the <ce:italic>m</ce:italic> statistics and the scaling of <ce:italic>m</ce:italic> with the MTB size using an explicit and fully automated method to determine <ce:italic>m</ce:italic> from the MTB trajectories via the U-turn protocol, which measures <ce:italic>m</ce:italic> based on the U-shaped trajectories exhibited by the MTB in an applied alternating magnetic field. The proposed method is an alternative to the standard U-turn time-based moment calculation and uses the theoretical U-turn shape function we have derived. This directly accounts for the U-turn geometry and determines the moment from the U-turn branch width. We couple this approach with a robust U-turn decomposition algorithm that detects U-turns from MTB tracks regardless of their orientations. We report a linear dependence of <ce:italic>m</ce:italic> on the size of the bacteria, accounting for the bacteria velocity variations during the U-turns. We also show that the new U-turn shape-based and the conventional time-based methods produce significantly different results. The proposed method can be used to differentiate between various types of MTB within the same population based on their velocity and magnetic moments, and to precisely characterize the magnetic properties of a culture.\",\"PeriodicalId\":8922,\"journal\":{\"name\":\"Biophysical journal\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biophysical journal\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.bpj.2025.06.008\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophysical journal","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.bpj.2025.06.008","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
Explicit analysis of magnetotactic bacteria motion reveals the length scaling of magnetic moments
Magnetotactic bacteria (MTB) are a diverse group of microorganisms whose movement can be directed via a magnetic field, which makes them attractive for applications in medicine and microfluidics. One of their key properties is the magnetic moment m, which is challenging to measure. We perform optical imaging experiments with MSR-1 MTB, and derive both the m statistics and the scaling of m with the MTB size using an explicit and fully automated method to determine m from the MTB trajectories via the U-turn protocol, which measures m based on the U-shaped trajectories exhibited by the MTB in an applied alternating magnetic field. The proposed method is an alternative to the standard U-turn time-based moment calculation and uses the theoretical U-turn shape function we have derived. This directly accounts for the U-turn geometry and determines the moment from the U-turn branch width. We couple this approach with a robust U-turn decomposition algorithm that detects U-turns from MTB tracks regardless of their orientations. We report a linear dependence of m on the size of the bacteria, accounting for the bacteria velocity variations during the U-turns. We also show that the new U-turn shape-based and the conventional time-based methods produce significantly different results. The proposed method can be used to differentiate between various types of MTB within the same population based on their velocity and magnetic moments, and to precisely characterize the magnetic properties of a culture.
期刊介绍:
BJ publishes original articles, letters, and perspectives on important problems in modern biophysics. The papers should be written so as to be of interest to a broad community of biophysicists. BJ welcomes experimental studies that employ quantitative physical approaches for the study of biological systems, including or spanning scales from molecule to whole organism. Experimental studies of a purely descriptive or phenomenological nature, with no theoretical or mechanistic underpinning, are not appropriate for publication in BJ. Theoretical studies should offer new insights into the understanding ofexperimental results or suggest new experimentally testable hypotheses. Articles reporting significant methodological or technological advances, which have potential to open new areas of biophysical investigation, are also suitable for publication in BJ. Papers describing improvements in accuracy or speed of existing methods or extra detail within methods described previously are not suitable for BJ.