Data from: Local generation and efficient evaluation of numerous drug combinations in a single sample

We develop a method that allows one to test a large number of drug
combinations in a single-cell culture sample. We rely on the randomness of
drug uptake in individual cells as a tool to create and encode drug
treatment regimens. A single sample containing thousands of cells is
treated with a combination of fluorescently barcoded drugs. We create
independent transient drug gradients across the cell culture sample to
produce heterogeneous local drug combinations. After the incubation
period, the ensuing phenotype and corresponding drug barcodes for each
cell are recorded. We use these data for statistical prediction of the
treatment response to the drugs in a macroscopic population of cells. To
further the application of this technology, we developed a fluorescent
barcoding method that does not require any chemical drug(s) modifications.
We also developed segmentation-free image analysis capable of handling
large optical fields containing thousands of cells in the sample, even in
confluent growth condition. The technology necessary to execute our method
is readily available in most biological laboratories, does not require
robotic or microfluidic devices, and dramatically reduces resource needs
and resulting costs of the traditional high-throughput studies.