Burst integrated lifetime analysis using the signal of two green and two red detectors split by polarization were detected by avalanche photodiodes (AQ 151, EG&G (Vaudreuil, Quebec, Canada)) coupled to a counting board (SPC432, Becker & Hickl, Berlin) and a personal computer.
The detector is split at a molecular level into signal-silent components which, before a signal is generated, must be assembled correctly into a particular three-dimensional arrangement.
The injection port temperature was 240°C and that of the detector 250°C (split ratio: 1/60).
The fatty acid composition was determined using GC with a CP 7489, 100-m × 0.25-mm × 0.25-μm, capillary column (Agilent J&W Advanced Capillary GC Columns, Netherlands) on an Agilent 7890A (Agilent Technologies, USA) with an autosampler, flame ionization detector and split injection.
An energy-based voice activity detector that splits and removes long-duration non-speech segments from the signals is applied initially.
Bland-Altman plots comparing cone density for (a) manual – C-CNN on confocal, (b) manual – M-CNN on confocal, (c) manual – GTDP on confocal, (d) manual – SD-CNN on split detector, (e) manual – M-CNN on split detector, and (f) manual – AFLD on split detector.
We trained separate networks for the confocal and split detector cases, which we label the confocal CNN (C-CNN) and split detector CNN (SD-CNN).
Original Images are shown in the left column, C-CNN for confocal and SD-CNN for split detector cone detection results in the middle column, and AFLD for split detector and GTDP for confocal results in the right column.
(a) Original cropped split detector AOSLO image.
Performance of the automated algorithms on confocal (a,b) and split detector (c,d) images.
