Automated analysis of dynamic behavior of single cells in picoliter droplets

Mohammad Ali Khorshidi, Prem Kumar Periyannan Rajeswari, Carolina Wählby, Håkan Jönsson, Helene Andersson Svahn

Research output: Contribution to journalJournal articleResearchpeer-review


We present a droplet-based microfluidic platform to automatically track and characterize the behavior of single cells over time. This high-throughput assay allows encapsulation of single cells in micro-droplets and traps intact droplets in arrays of miniature wells on a PDMS–glass chip. Automated time-lapse fluorescence imaging and image analysis of the incubated droplets on the chip allows the determination of the viability of individual cells over time. In order to automatically track the droplets containing cells, we developed a simple method based on circular Hough transform to identify droplets in images and quantify the number of live and dead cells in each droplet. Here, we studied the viability of several hundred single isolated HEK293T cells over time and demonstrated a high survival rate of the encapsulated cells for up to 11 hours. The presented platform has a wide range of potential applications for single cell analysis, e.g. monitoring heterogeneity of drug action over time and rapidly assessing the transient behavior of single cells under various conditions and treatments in vitro.
Original languageEnglish
JournalLab on a Chip
Number of pages7
Publication statusPublished - 2014
Externally publishedYes


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