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1.
Fig. 2

Fig. 2. From: Efficient framework for automated classification of subcellular patterns in budding yeast.

Illustration of the orientation adjustment scheme. The long thick arrows represent the major orientation and the short thin arrows represent the second major orientation.

Seungil Huh, et al. Cytometry A. ;75(11):934-940.
2.
Fig. 3

Fig. 3. From: Efficient framework for automated classification of subcellular patterns in budding yeast.

Improved accuracy for high confidence predictions. The overall accuracy of only those predictions with confidence above a given threshold is displayed as a function of the fraction of images whose confidence was greater than that threshold.

Seungil Huh, et al. Cytometry A. ;75(11):934-940.
3.
Fig. 1

Fig. 1. From: Efficient framework for automated classification of subcellular patterns in budding yeast.

Example GFP images from the four major classes in the UCSF yeast GFP fusion database. Each panel shows a 256 × 256 pixel region in the center of the original image for a randomly chosen protein from a given class. From left to right, the proteins shown (and their subcellular locations) are YNL267W (Cytoplasm), YPL011C (Nucleus), YDL120W (Mitochondrion), and YOR254C (Endoplasmic Reticulum). The images were scaled and background-corrected as described in the methods.

Seungil Huh, et al. Cytometry A. ;75(11):934-940.

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