1. Chemical Genetic Screening Approaches to Neurobiology
Brent R Stockwell 
Neuron 
Volume 36, Issue 4, Pages (November 2002)
DOI: /S (02)

2. Figure 1
An Example of an Imaging-Based Assay that Could Be Adapted for High-Throughput Screening
Survival Motor Neuron (SMN) is shown to be localized in the growth cone of retinoic acid-treated mouse P19 embryonal carcinoma cells. SMN is stained in green, GAP-43 (a growth cone marker) in red, the nucleus in blue, and colocalized SMN and GAP-43 in yellow. The arrowhead indicates a growth cone-like structure (Fan and Simard, 2002). Figure reprinted by permission of Oxford University Press (L. Fan and L.R. Simard, Human Molecular Genetics 11, 1605–1614).
Neuron  , DOI: ( /S (02) )

3. Figure 2 Optimization of the Z Factor during Assay Development
A positive control and a negative control are used to optimize assay conditions such that the separation between the mean of the positive signal (μ+) and the mean of the negative signal (μ−) is maximized. Simultaneously, the variability of the positive (σ+) and negative (σ−) signal is minimized. The Z factor, which is defined as Z = 1 − {[3 × (σ+ + σ−)]/(μ+ − μ−)}, incorporates all of these parameters and is used as a quantitative score of assay quality (Zhang et al., 1999).
Neuron  , DOI: ( /S (02) )