Все публикации

Aivia 12 [Launch] - Unlocking Insights in Complex and Dense Neuron Images Guided by AI

Aivia 10.5 [Launch] - AI-powered autonomous neuron analysis

[Aivia That Learns] Autonomous 3D object segmentation

Aivia feature: Active tiles

Features of Aivia

Theo Knijnenburg - A deep generative model of 3D single-cell organization

Virginie Uhlmann - Quantifying biological shape across imaging modalities

Jiji Chen - Deep learning to denoise and sharpen fluorescence microscopy image volumes

[Tutorial] 3D Neuron Analysis - FL

[Tutorial] 3D Object Analysis and Tracking

[Tutorial] 3D Cell Analysis

[Tutorial] Pixel Classifier

Reconstructing retinal circuitry

Exploring new career paths

Meghan Driscoll - Analyzing morphological motifs in 3D microscopy images

Matthias Haberl - CDeep3M: plug-and-play, large-scale deep learning based image analysis

Lanxin Zhu - High-throughput, high-speed imaging and analysis of biological dynamics

Soham Mandal - SplineDist: automated cell segmentation with spline curves

Hari Shroff - Enhancing microscopy with computation

Aubrey Weigel - Automatic whole cell organelle segmentation in volumetric EM

Aivia 9 8 [Launch] - Reveal the neural network

Aivia Neuroscience Tools

Cell Bio 2020 (ASCB EMBO) | Active learning (deep training) applied to EM connectomics analyses

Cell Bio 2020 (ASCB EMBO) | AI Microscopy: DL minimizes the impact of microscopy limitations