Lens-free shadow image based high-throughput continuous cell monitoring technique.
A high-throughput continuous cell monitoring technique which does not require any labeling reagents or destruction of the specimen is demonstrated. More than 6000 human alveolar epithelial A549 cells are monitored for up to 72 h simultaneously and continuously with a single digital image within a cost and space effective lens-free shadow imaging platform. In an experiment performed within a custom built incubator integrated with the lens-free shadow imaging platform, the cell nucleus division process could be successfully characterized by calculating the signal-to-noise ratios (SNRs) and the shadow diameters (SDs) of the cell shadow patterns. The versatile nature of this platform also enabled a single cell viability test followed by live cell counting. This study firstly shows that the lens-free shadow imaging technique can provide a continuous cell monitoring without any staining/labeling reagent and destruction of the specimen. This high-throughput continuous cell monitoring technique based on lens-free shadow imaging may be widely utilized as a compact, low-cost, and high-throughput cell monitoring tool in the fields of drug and food screening or cell proliferation and viability testing.
Department of Electronics and Information Engineering, Korea University, Jochiwon, Republic of Korea.
Geonsoo
G
Jin
In-Hwa
IH
Yoo
Seung Pil
SP
Pack
Ji-Woon
JW
Yang
Un-Hwan
UH
Ha
Se-Hwan
SH
Paek
Sungkyu
S
Seo
D002452:Cell Count; D002460:Cell Line; D002467:Cell Nucleus / Q000648:ultrastructure; D048750:Cell Nucleus Division; D049109:Cell Proliferation; D002470:Cell Survival; D057166:High-Throughput Screening Assays / Q000191:economics / Q000379:methods*; D006801:Humans; D008853:Microscopy / Q000191:economics / Q000379:methods*; D011650:Pulmonary Alveoli / Q000166:cytology*; D020545:Respiratory Mucosa / Q000166:cytology*; D059629:Signal-To-Noise Ratio