Intelligent sort-timing prediction for image-activated cell sorting.

Intelligent image-activated cell sorting (iIACS) has enabled high-throughput image-based sorting of single cells with artificial intelligence (AI) algorithms. This AI-on-a-chip technology combines fluorescence microscopy, AI-based image processing, sort-timing prediction, and cell sorting. Sort-timing prediction is particularly essential due to the latency on the order of milliseconds between image acquisition and sort actuation, during which image processing is performed. The long latency amplifies the effects of the fluctuations in the flow speed of cells, leading to fluctuation and uncertainty in the arrival time of cells at the sort point on the microfluidic chip. To compensate for this fluctuation, iIACS measures the flow speed of each cell upstream, predicts the arrival timing of the cell at the sort point, and activates the actuation of the cell sorter appropriately. Here, we propose and demonstrate a machine learning technique to increase the accuracy of the sort-timing prediction that would allow for the improvement of sort event rate, yield, and purity. Specifically, we trained an algorithm to predict the sort timing for morphologically heterogeneous budding yeast cells. The algorithm we developed used cell morphology, position, and flow speed as inputs for prediction and achieved 41.5% lower prediction error compared to the previously employed method based solely on flow speed. As a result, our technique would allow for an increase in the sort event rate of iIACS by a factor of ~2.

Zhao Y ，Isozaki A ，Herbig M ，Hayashi M ，Hiramatsu K ，Yamazaki S ，Kondo N ，Ohnuki S ，Ohya Y ，Nitta N ，Goda K ... -  《-》

A practical guide to intelligent image-activated cell sorting.

Isozaki A ，Mikami H ，Hiramatsu K ，Sakuma S ，Kasai Y ，Iino T ，Yamano T ，Yasumoto A ，Oguchi Y ，Suzuki N ，Shirasaki Y ，Endo T ，Ito T ，Hiraki K ，Yamada M ，Matsusaka S ，Hayakawa T ，Fukuzawa H ，Yatomi Y ，Arai F ，Di Carlo D ，Nakagawa A ，Hoshino Y ，Hosokawa Y ，Uemura S ，Sugimura T ，Ozeki Y ，Nitta N ，Goda K ... -  《-》

Intelligent image-activated cell sorting 2.0.

Isozaki A ，Mikami H ，Tezuka H ，Matsumura H ，Huang K ，Akamine M ，Hiramatsu K ，Iino T ，Ito T ，Karakawa H ，Kasai Y ，Li Y ，Nakagawa Y ，Ohnuki S ，Ota T ，Qian Y ，Sakuma S ，Sekiya T ，Shirasaki Y ，Suzuki N ，Tayyabi E ，Wakamiya T ，Xu M ，Yamagishi M ，Yan H ，Yu Q ，Yan S ，Yuan D ，Zhang W ，Zhao Y ，Arai F ，Campbell RE ，Danelon C ，Di Carlo D ，Hiraki K ，Hoshino Y ，Hosokawa Y ，Inaba M ，Nakagawa A ，Ohya Y ，Oikawa M ，Uemura S ，Ozeki Y ，Sugimura T ，Nitta N ，Goda K ... -  《-》

User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm.

Lee K ，Kim SE ，Doh J ，Kim K ，Chung WK ... -  《-》

Intelligent Image-Activated Cell Sorting.

A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies are limited in uncovering these relations. We present a machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology, which we refer to as intelligent image-activated cell sorting, integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. We use it to demonstrate real-time sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences.

Nitta N ，Sugimura T ，Isozaki A ，Mikami H ，Hiraki K ，Sakuma S ，Iino T ，Arai F ，Endo T ，Fujiwaki Y ，Fukuzawa H ，Hase M ，Hayakawa T ，Hiramatsu K ，Hoshino Y ，Inaba M ，Ito T ，Karakawa H ，Kasai Y ，Koizumi K ，Lee S ，Lei C ，Li M ，Maeno T ，Matsusaka S ，Murakami D ，Nakagawa A ，Oguchi Y ，Oikawa M ，Ota T ，Shiba K ，Shintaku H ，Shirasaki Y ，Suga K ，Suzuki Y ，Suzuki N ，Tanaka Y ，Tezuka H ，Toyokawa C ，Yalikun Y ，Yamada M ，Yamagishi M ，Yamano T ，Yasumoto A ，Yatomi Y ，Yazawa M ，Di Carlo D ，Hosokawa Y ，Uemura S ，Ozeki Y ，Goda K ... -  《-》