Development and Application of a High-Throughput Microbial Clone Picking Workstation Based on Machine Vision Synthetic Biology Journal    DOI: 10.12211/2096-8280.2025-038

Fig. 6 Flowchart of colony identification and location

Extracts from the Article

微生物菌落图像识别过程包括两个步骤：第一步图像中每个菌落区域分割，第二步菌落形态参数计算及辨识合格菌落。菌落定位识别流程如图6所示。

Other Images/Table from this Article

• Fig. 1  Overall form of clone selection workstation
• Fig. 2  System composition of clone selection workstation
• Fig. 3  Electrical schematic diagram
• Fig. 4  Work area arrangement of clone selection workstation
• Fig. 5  Problems existing in colony images that affect recognition
• Fig. 7  Petri dish
• Fig. 8  Dish trainning curve
• Fig. 9  Identification and labeling of Petri dishes
• Table 1  Distribution of the dataset
• Fig. 10  Colony-training curve
• Fig. 11  Grayscale image generated by reasoning
• Fig. 12  Identification of qualified colonies
• Fig. 13  UI design
• Fig. 14  Control interface framework of the workstation
• Fig.15  Clone selection process
• Fig. 16  Image comparison before and after picking
• Fig. 17  Deep well plate containing colony culture medium
• Fig. 18  Verification of sterilization effect
• Table 2  A comparison of technical parameters of this device with other three cloning selection workstations