Quyen Tran , PhD

Quyen Tran

Quyen Tran, Ph.D. is Global Business Excellence Manager, Data & Analysis at Leica Microsystems. She completed her Ph.D. in Biomedical Engineering at the University of Wisconsin – Madison where she examined stem cell behavior in 3D protein-based constructs fabricated using multiphoton microscopy. Quyen has worked with Aivia since its launch and is currently focused on supporting the sales and product development team in providing customer-focused image analysis solutions. Quyen also brings her perspective as a user and Aivia expert to create and manage the Aivia marketing plan.

基于人工智能的多重图像分析以探索结肠腺癌

在这项研究中,我们展示了一种利用Cell DIVE和AIVIA软件的空间生物学工作流程,以绘制结肠腺癌中的肿瘤免疫景观图。
Image of fixed U2OS cell expressing mEmerald-Tomm20 denoised using a 3D RCAN model trained with matching low and high SNR image pairs acquired on an iSIM system.

人工智能显微图像分析-介绍

人工智能引领的显微图像分析和可视化是用于数据驱动型科学发现的一项强大工具。人工智能技术可以帮助研究人员应对具有挑战性的成像应用,让他们能够从图像中获取更多的信息。
Single timepoint of a time-lapse recording of mammary epithelial micro spheroid cultured in 3D highlighting individual mitotic events

在不同尺度下观察复杂的细胞相互作用

细胞间的相互作用很难观察,其中涉及的目标检测和关系衡量尤为棘手。没有简单易用的目标检测及其关系测量方法,很难观察到细胞间的相互作用。
Aivia_Neuroscience-VBE comparison mouse-1_traced_ROI

自动化加速神经元图像分析

复杂神经投射的检测能力主要取决于大规模神经元网络的精确重建。神经科学研究中的大多数数据析取方法都非常耗时和易错,进而导致进度延误和错误。在本次研讨会中,Aivia将演示如何利用自动化技术提升图像分析工作流的效率
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