Figure 3—figure supplement 1.

Figure 3—figure supplement 1.

Related to Figure 3. Examples of automated detection of (A) Type-I NBs and (B) GMCs, respectively, from a 3D multichannel image set for a fixed WT larval brain labelled with DAPI, anti-Ase and anti-Dpn. In both cases, training was performed by single click annotation within a user defined region of interest (ROI, dashed lines in A′′ and B′′) to identify the cell class of interest. The resultant ‘proximity’ maps (A′ and B′) and corresponding cell class identifications (e.g. A′′ and B′′) were evaluated manually to assess the success of training. The zoomed regions (corresponding to the dashed white boxes) show examples of correct identification (cyan arrowheads) and false negative (magenta arrowheads) of NB in A′V) and GMC’s in B′V). (C) Manual identification of cell classes from generic labels: fixed Jupiter::GFP, Histone::RFP labelled brain (C′), immunolabelled for Dpn and Pros (C′′) to permit unequivocal identification of NB and their progeny. (D) Validation of CytoCensus identification of NB and progeny from generic cytological makers. (D′) Cell centre predictions are shown from CytoCensus analysis of the dataset from (C′) with generic markers. (D′′) Corresponding identifications of NB and progeny based upon Dpn and Pros markers. (D′′′) Plot showing that identification based upon Jupiter::GFP, Histone::RFP labelling alone effectively identifies NB and progeny compared to identification from Dpn and Pros labels: 96% ± 4 NB identification (n = 12, three repeats) and 92% ± 2 progeny identification (n = 189, three repeats). Scale bars (A′′) and (B′′) 50 µm; (C′) and (D′) 20 µm.