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相关概念视频

Overview of Algae01:28

Overview of Algae

61
The kingdom Archaeplastida encompasses red and green algae, along with land plants. Unlike other protists with chloroplasts that arose through secondary endosymbiosis, only red and green algae originated from primary endosymbiotic events. This diverse group of eukaryotic organisms contains chlorophyll and performs oxygenic photosynthesis.Algae exist in various forms, from large brown kelp in coastal waters to green scum in puddles and stains on rocks or soil. Some species are responsible for...
61
Other Algae01:19

Other Algae

48
The group Stramenopiles include some phototrophic microorganisms. Members of this group possess flagella covered in numerous short, hairlike extensions, a feature that inspired the group's name, derived from the Latin words for "straw" and "hair." Some of the main categories of Stramenopiles include diatoms, golden algae, and brown algae.Diatoms are unicellular, photosynthetic eukaryotes, with over 200 known genera. They play a key role in the planktonic communities of both marine and...
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Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

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Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
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Green Algae01:21

Green Algae

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Green algae, also referred to as chlorophytes, are different from red algae in having the chloroplasts containing chlorophylls a and b, which give them their distinct green hue. However, they lack phycobiliproteins, preventing them from developing the red or blue-green pigmentation seen in red algae. In terms of photosynthetic pigment composition, green algae closely resemble plants and share a close evolutionary relationship with them. Taxonomically Green algae belong to Phylum Chlorophyta in...
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Super-resolution Fluorescence Microscopy01:37

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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相关实验视频

Updated: Jul 24, 2025

Autofluorescence Imaging to Evaluate Red Algae Physiology
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基于深度学习的微藻类的分类使用光和扫描电子显微镜图像.

Mesut Ersin Sonmez1, Betul Altinsoy1, Betul Yilmaz Ozturk2

  • 1Department of Bioengineering, Faculty of Engineering, Karamanoglu Mehmetbey University, Karaman, Turkey.

Micron (Oxford, England : 1993)
|July 5, 2023
PubMed
概括

深度学习使用光显微镜 (LM) 和扫描电子显微镜 (SEM) 图像准确识别微藻. 这种方法实现了99%的准确性,优于传统方法,并突出了成本效益高的光学显微镜用于藻类识别.

关键词:
在美国,CNN是CNN.微藻类是一种微藻类.种类分类的物种分类.在VGG16中,VGG16是VGG16中的一个.

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科学领域:

  • 海洋生物学 海洋生物学
  • 生物技术是生物技术.
  • 计算科学 计算科学

背景情况:

  • 微藻具有重要的工业和生态作用.
  • 藻类繁殖对环境构成重大威胁,需要有效监测.
  • 目前的识别方法是耗时的,劳动密集的,昂贵的.

研究的目的:

  • 评估使用LM和SEM进行微藻识别的深度学习模型.
  • 为了比较各种卷积神经网络 (CNN) 架构的性能.
  • 研究将SEM图像与传统LM图像相结合的有效性.

主要方法:

  • 使用光显微镜 (LM) 和扫描电子显微镜 (SEM) 拍摄了五种微藻物种的图像 (两种蓝藻,三种叶绿藻).
  • 应用了最先进的卷积神经网络 (CNN) 模型:VGG16,MobileNet V2,Xception,NasnetMobile,以及EfficientNetV2.2. 这三种模式都在应用中.
  • 首次将SEM图像集成到基于深度学习的微藻识别中.

主要成果:

  • 通过VGG16和EfficientNetV2模型,对于LM和SEM图像实现了99%的特殊分类准确度.
  • 对于大多数具有SEM图像的模型,已经证明了高分类准确率 (>93%).
  • 纳斯网移动显示SEM图像的精度最低 (87%),而其他模型表现良好.

结论:

  • 深度学习,特别是CNN,为微藻识别提供了一种快速而精确的方法.
  • 将SEM图像与LM图像相结合,可以提高识别的准确性.
  • 低成本的光学显微镜与深度学习相结合,与用于藻类识别的电子显微镜相比,取得了更好的结果.