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Big Data Acquisition and Processing in Real-Time

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Artificial Intelligence in Label-free Microscopy

Abstract

Coherent-STEAM is a quantitative phase microscopy technique for label-free analysis of up to 100,000 cells per second in flow. Here, we introduce a data acquisition scheme that enables interruptionless storage of Coherent-STEAM cell images. Our proof of principle demonstration is capable of saving 10.8 TB of cell images in an hour, i.e., pictures of every single cell in 2.7 mL of a sample.

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References

  1. Mahjoubfar, A., Chen, C., Niazi, K. R., Rabizadeh, S., & Jalali, B. (2014). Label-free high-throughput imaging flow cytometry. In SPIE LASE (pp. 89720F–89720F). Washington, DC: International Society for Optics and Photonics.

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Mahjoubfar, A., Chen, C.L., Jalali, B. (2017). Big Data Acquisition and Processing in Real-Time. In: Artificial Intelligence in Label-free Microscopy. Springer, Cham. https://doi.org/10.1007/978-3-319-51448-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-51448-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51447-5

  • Online ISBN: 978-3-319-51448-2

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