![[Translate to chinese:] Separation of cells based on their tracking status: A colourised binary mask of a time-lapse microscopy field of view of medium confluency with individual cells highlighted as survivors if they can be tracked since the initial movie frame (cyan), incomers if they migrated into the field of view throughout the movie (yellow) or mistracks if an error occurred in the automated trajectory reconstruction (red). Tracking_single_cells_using_deep_learning_teaser.jpg](/fileadmin/_processed_/7/b/csm_Tracking_single_cells_using_deep_learning_teaser_41cc354e69.jpg "[Translate to chinese:] Colourised binary mask of a time-lapse microscopy field of view of medium confluency"){kind=tracking}
相关文章
-
![[Translate to chinese:] THY1-EGFP labeled neurons in mouse brain processed using the PEGASOS 2 tissue clearing method, imaged on a Leica confocal microscope. Neurons were traced using Aivia’s 3D Neuron Analysis – FL recipe. Image credit: Hu Zhao, Chinese Institute for Brain Research.](/fileadmin/_processed_/f/1/csm_Neurons_in_mouse_brain_with_Aivia_3D_Neuron_Analysis_976f72c643.jpg "[Translate to chinese:] THY1-EGFP labeled neurons in mouse brain processed using the PEGASOS 2 tissue clearing method. Neurons were traced using Aivia’s 3D Neuron Analysis – FL recipe. Image credit: Hu Zhao, Chinese Institute for Brain Research.")
借助人工智能，揭示复杂而密集的神经元图像中的洞察
神经元的3D形态学分析通常需要使用不同的成像模式，捕捉多种类型的神经元，并在各种密度下相连的传统Leica SP8显微镜采集多达解神经元的形态，这对许多研究人员来说仍然是一个耗时的挑战。
Jun 16, 2023Read article -
人工智能显微成像能够高效检测稀有事件
对稀有事件进行定位和选择性成像是许多生物样本研究过程的关键。然而，由于时间限制和高度的复杂性，有些实验无法做到，从而限制了获得新发现的前景。通过基于人工智能的显微成像检测稀有事件，这种工作流程将智能样…
Jun 06, 2023Read article -
精确分析宽视野荧光图像
利用荧光显微镜的特异性，即便是使用厚样品和大尺寸样品，研究人员也能够快速轻松地准确观察和分析生物学过程和结构。然而，离焦荧光会提高背景荧光，降低对比度，影响图像的精确分割。THUNDER 与Aivia…
Jan 17, 2022Read article