OrganoLabeler: A Quick and Accurate Annotation Tool for Organoid Images.

Organoids are self-assembled 3D cellular structures that resemble organs structurally and functionally, providing platforms for molecular and therapeutic studies. Generation of organoids from human cells often requires long and costly procedures with arguably low efficiency. Prediction and selection of cellular aggregates that result in healthy and functional organoids can be achieved by using artificial intelligence-based tools.

Generation of Anterior Segment of the Eye Cells from hiPSCs in Microfluidic Platforms.

Ophthalmic diseases affect many people, causing partial or total loss of vision and a reduced quality of life. The anterior segment of the eye accounts for nearly half of all visual impairment that can lead to blindness. Therefore, there is a growing demand for ocular research and regenerative medicine that specifically targets the anterior segment to improve vision quality.

Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

Purpose: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for clinicians dealing with male infertility caused by prepubertal testicular damage. Deep learning (DL) methods may offer visual tools for tracking SSPCs on testicular strips of prepubertal animal models. The purpose of this study is to detect and count the seminiferous tubules and SSPCs in newborn mouse testis sections using a DL method.

TiO nanoparticle synthesis, characterization and application to shoot regeneration of water hyssop ( L. Pennel) in vitro.

Water hyssop ( L. Pennel) is a medicinal aquatic herb used to treat diseases in South Asia. Various regeneration protocols have been developed or modified in vitro to ensure the availability of biomass and secondary metabolites of .