期刊
MICROMACHINES
卷 13, 期 6, 页码 -出版社
MDPI
DOI: 10.3390/mi13060833
关键词
microscopy; bio-automation; open-hardware; edge computing; IoT; microbiology
类别
资金
- Belgian Fonds de la Recherche Scientifique F.R.S.-FNRS [PDR T.0032]
- BELSPO BRAIN [B2/212/PI/PORTAL]
- European Research Council (ERC) [682580]
- Uliege welcome grant
- European Research Council (ERC) [682580] Funding Source: European Research Council (ERC)
Bright field microscopes are useful tools for biologists to observe and analyze cells. Researchers have developed a stand-alone microscope that can automatically collect samples and capture images using computer vision algorithms.
Bright field microscopes are particularly useful tools for biologists for cell and tissue observation, phenotyping, cell counting, and so on. Direct cell observation provides a wealth of information on cells' nature and physiological condition. Microscopic analyses are, however, time-consuming and usually not easy to parallelize. We describe the fabrication of a stand-alone microscope able to automatically collect samples with 3D printed pumps, and capture images at up to 50x optical magnification with a digital camera at a good throughput (up to 24 different samples can be collected and scanned in less than 10 min). Furthermore, the proposed device can store and analyze pictures using computer vision algorithms running on a low power integrated single board computer. Our device can perform a large set of tasks, with minimal human intervention, that no single commercially available machine can perform. The proposed open-hardware device has a modular design and can be freely reproduced at a very competitive price with the use of widely documented and user-friendly components such as Arduino, Raspberry pi, and 3D printers.
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