Cyto-Mine: An Integrated, Picodroplet System for High-Throughput Single-Cell Analysis, Sorting, Dispensing, and Monoclonality Assurance

SLAS Technol. 2020 Apr;25(2):177-189. doi: 10.1177/2472630319892571. Epub 2020 Jan 15.


The primary goal of bioprocess cell line development is to obtain high product yields from robustly growing and well-defined clonal cell lines in timelines measured in weeks rather than months. Likewise, high-throughput screening of B cells and hybridomas is required for most cell line engineering workflows. A substantial bottleneck in these processes is detecting and isolating rare clonal cells with the required characteristics. Traditionally, this was achieved by the resource-intensive method of limiting dilution cloning, and more recently aided by semiautomated technologies such as cell sorting (e.g., fluorescence-activated cell sorting) and colony picking. In this paper we report on our novel Cyto-Mine Single Cell Analysis and Monoclonality Assurance System, which overcomes the limitations of current technologies by screening hundreds of thousands of individual cells for secreted target proteins, and then isolating and dispensing the highest producers into microtiter plate wells (MTP). The Cyto-Mine system performs this workflow using a fully integrated, microfluidic Cyto-Cartridge. Critically, all reagents and Cyto-Cartridges used are animal component-free (ACF) and sterile, thus allowing fast, robust, and safe isolation of desired cells.

Keywords: HTS; automated biology; high producer identification; high-throughput screening; microfluidics; microtechnology; monoclonality; picodroplet.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Antigens / metabolism
  • CHO Cells
  • Cells, Immobilized / cytology
  • Clone Cells / cytology*
  • Cricetulus
  • Flow Cytometry
  • Fluorescence Resonance Energy Transfer
  • High-Throughput Screening Assays / methods*
  • Humans
  • Image Processing, Computer-Assisted
  • Immunoglobulin G / metabolism
  • Mice
  • Single-Cell Analysis / methods*
  • Software*


  • Antigens
  • Immunoglobulin G