Algorithm for the precise detection of single and cluster cells in microfluidic applications.
Recent advances in imaging flow cytometry and microfluidic applications have led to the development of suitable mathematical algorithms capable of detecting and identifying targeted cells in images. In contrast to currently existing algorithms, we herein proposed the identification and reconstruction of cell edges based on original approaches that overcome frequent detection limitations such as halos, noise, and droplet boundaries in microfluidic applications. Reconstructed cells are then discriminated between single cells and clusters of round-shaped cells, and cell information such as the area and location of a cell in an image is output. Using this method, 76% of cells detected in an image had an error <5% of the cell area size and 41% of the image had an error <1% of the cell area size (n = 1,000). The method developed in the present study is the first image processing algorithm designed to be flexible in use (i.e. independent of the size of an image, using a microfluidic droplet system or not, and able to recognize cell clusters in an image) and provides the scientific community with a very accurate imaging algorithm in the field of microfluidic applications. © 2016 International Society for Advancement of Cytometry.
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.
Mathias
M
Girault
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.
Akihiro
A
Hattori
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.|Institute of Biomaterials and Bioengineering, Department of Biomedical Information, Tokyo Medical and Dental University, Chiyoda, Tokyo, 101-0062, Japan.
Hyonchol
H
Kim
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.
Kenji
K
Matsuura
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.|Institute of Biomaterials and Bioengineering, Department of Biomedical Information, Tokyo Medical and Dental University, Chiyoda, Tokyo, 101-0062, Japan.
Masao
M
Odaka
Institute of Biomaterials and Bioengineering, Department of Biomedical Information, Tokyo Medical and Dental University, Chiyoda, Tokyo, 101-0062, Japan.
Hideyuki
H
Terazono
Kanagawa Academy of Science and Technology, On-chip Cellomics project, Takatsu, Kawasaki, 213-0012, Japan.|Institute of Biomaterials and Bioengineering, Department of Biomedical Information, Tokyo Medical and Dental University, Chiyoda, Tokyo, 101-0062, Japan.
Kenji
K
Yasuda
D000465:Algorithms; D002449:Cell Aggregation / Q000235:genetics; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D046210:Microfluidic Analytical Techniques / Q000379:methods*; D059010:Single-Cell Analysis / Q000379:methods
algorithm; cell detection; cell reconstruction; droplet; imaging processing; microfluidic