Detection of rice plant diseases based on deep transfer learning.

Background: As the primary food for nearly half of the world's population, rice is cultivated almost all over the world, especially in Asian countries. However, the farmers and planting experts have been facing many persistent agricultural challenges for centuries, such as different diseases of rice. The severe rice diseases may lead to no harvest of grains; therefore, a fast, automatic, less expensive and accurate method to detect rice diseases is highly desired in the field of agricultural information.

[Matrine-induced erythroid differentiation of K562 cells is associated with activation of the apoptotic pathway].

Objective: To observe matrine-induced erythroid differentiation of K562 cells in relation to activation of the apoptotic pathway in vitro.

Methods: K562 cells were cultured in the presence or absence of matrine at different concentrations for 4 days, and the morphological and ultramicrostructural changes of the cells were observed using inverted microscopy and transmission electron microscopy, respectively. The expression of apoptosis-related protein p27kip1 was detected by immunocytochemistry.