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在酸性压力下对Lactiplantibacillus plantarum形态变化的计算分析

Athira Venugopal^1,2, Doron Steinberg¹, Ora Moyal³

¹Biofilm Research Laboratory, Institute of Biomedical and Oral Research (IBOR), Faculty of Dental Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.

|March 27, 2025

概括

计算机图像分析显示,酸性压力显著延长了乳球植物菌植物细胞41%. 这种深度学习方法准确地测量了细菌形态的变化,有助于识别.

科学领域:

微生物学微生物学
计算生物学计算生物学
生物图像分析生物图像分析

背景情况:

细菌细胞形态对于识别和理解生理反应至关重要.
酸性环境可以引起细菌显著的压力和形态变化.
需要准确和公正的方法来量化这些形态变化.

研究的目的:

为了研究酸性压力 (pH3.5与pH6.5) 对Lactiplantibacillus plantarum细胞形态的影响.
开发和应用一种计算深度学习方法来分析细菌的大小和形状.
在低pH条件下量化细菌尺寸的变化.

主要方法:

使用深度学习进行对象检测和图像分类的计算管道的开发.
在不同的pH条件下对单个物种培养的Lactiplantibacillus plantarum进行分析.
使用开发的图像分析技术测量细菌细胞的长度和宽度.

主要成果:

在pH值3.5与pH值6.5相比,在Lactiplantibacillus plantarum的细胞形态上观察到显著的变化.
细菌的长度增加了41%,在酸性压力下,它们看起来长,未分离的细胞.
细菌的宽度保持不变,这表明特定的细胞对低pH的反应.

结论:

基于深度学习的图像分析提供了一种准确有效的方法来量化细菌的形态变化.
酸性压力会导致乳球植物菌植物体的显著延长,可能是由于膜性质的改变.
开发的计算方法适用于研究其他微生物物种和细胞结构.

关键词:

牛奶植物植物菌植物植物 (Lactiplantibacillus plantarum) 是一种植物.细胞长度是细胞长度.深度学习是一种深度学习.图像的分类图像的分类.形态学形态学形态学对象检测检测对象检测对象检测

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