Chang jin hu for windows instal1/18/2024 The corresponding 3D image analysis software, 3DPheno-Seed&Fruit, was created for automatic segmentation and rapid quantification of eight morphological phenotypes of internal and external compartments of seeds and fruits. Here, we introduced a high-throughput image acquisition approach by mounting a specially designed seed-fruit container onto the scanning bed. And there is no specialized software for automatic extraction of phenotypes from CT images. However, the current CT equipment cannot be adopted to scan seeds and fruits with high throughput. X-ray computed tomography (CT) scanning, which provides a convenient means of non-destructively recording the external and internal 3D structures of seeds and fruits, offers a potential to overcome these limitations. These methods are not only in low-throughput but also unable to collect their three-dimensional (3D) characteristics and internal morphology. Traditional seed and fruit phenotyping are mainly accomplished by manual measurement or extraction of morphological properties from two-dimensional images. 3Engineering Research Centre of Chinese Ministry of Education for Edible and Medicinal Fungi, Jilin Agricultural University, Changchun, China.2Wuhan Gooalgene Technology Co., Ltd., Wuhan, China.1School of Computer Science and Technology, Wuhan University of Technology, Wuhan, China.Weizhen Liu 1 Chang Liu 1 Jingyi Jin 2 Dongye Li 2 Yongping Fu 3* Xiaohui Yuan 1,3*
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