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. Author manuscript; available in PMC: 2015 Sep 14.
Published in final edited form as: J Biomol Screen. 2015 Apr 22;20(7):887–897. doi: 10.1177/1087057115581317

Table 2.

Challenges in quantitative high-throughput screening data analysis.a.

Challenge Description True Signal/Activity False Signal/Assay Interference
Nonmonotonic curve: U-shape graphic file with name nihms698036t1.jpg graphic file with name nihms698036t2.jpg
Identification of weak signal graphic file with name nihms698036t3.jpg N/A
Assay interference: cytotoxicity graphic file with name nihms698036t4.jpg graphic file with name nihms698036t5.jpg
Assay interference: autofluorescence graphic file with name nihms698036t6.jpg graphic file with name nihms698036t7.jpg
Assay interference: contradictory readout graphic file with name nihms698036t8.jpg graphic file with name nihms698036t9.jpg
Assay interference: reverse signal graphic file with name nihms698036t10.jpg graphic file with name nihms698036t11.jpg
a

Ratio or luc, main readout in either β-lactamase assay or luciferase assay, respectively; ch1, channel 1, the background in bla (β-lactamase assay) assay; ch2, channel 2, the signal channel in bla assay; via, cell viability; autofluor, autofluorescence; er, estrogen receptor; ar, androgen receptor; pparg, peroxisome proliferator-activated receptor gamma. Numbers represent different batches.