[演講公告]Amira於多維度細胞生物學之應用

張貼者:2017年3月23日 下午7:36擎曄網站管理員   [ 已更新 2017年6月18日 下午11:48 ]
  演講主題:
Amira於多維度細胞生物學之應用
Amira 3D/4D+ visualization and analysis software for cell biology

講者:
Christian Wietholt, Ph.D, CSPO
Thermo Fisher Scientific
Amira Software Product Manager

時間:
2017.04.25 (Tue) 上午11:00-12:00

地點:
中央研究院應用科學研究中心跨領域科技研究大樓1樓B106演講廳
B106 Auditorium, 1F, IRBST, Academia

主辦:
中央研究院應用科學研究中心 陳壁彰博士
擎曄有限公司

線上報名網址:
https://goo.gl/HKvnez

費用:
免費
Christian Wietholt  
 
 

Amira for Cell Biology – 3D/4D+ visualization and analysis software for cell biology

Today’s cell biology researchers are facing numerous challenges when performing analysis of intra and intercellular processes and structures. One of the first challenges is data import. Cell biology laboratories are filled with various image acquisition instruments from various vendors all preferring their own proprietary file format. With the seamless integration of Bio-Formats, Amira for Cell Biology offers a convenient solution to import data and meta data from over 150 file formats. Typically, the next step in the processing chain is image segmentation. Here, Amira offers a comprehensive toolbox of image processing algorithms that can be concatenated in any order to fit the segmentation needs for any type of data. These segmentation workflows can then be automated and applied to entire time series of image data. Time series data is often acquired to follow dynamic intra and inter-cellular processes to perform cell lineage or single particle tracking. With the modular integration of a powerful, automated tracking algorithm (powered by u-track 3D, under peer-review by the Danuser Lab, UT Southwestern), Amira offers a solution for tracking any type of dynamic processes to better understand cellular development and disease progression at the cellular level. These cellular processes can then be analyzed to measure parameters such as motility, diffusion, mode, lineage, morphology, and shape and marker concentration. To better understand the underlying structures supporting these dynamic processes, it is often necessary to correlate structural images with this functional information. Using Amira’s multi-volume infrastructure, the digital data scientist is able to register data from different imaging modalities and offers a solution for true correlative light and electron microscopy. This structural data can be further analyzed inside of Amira, e.g. using neuron and filament tracing tools. Here Amira enables the cell biologist to use traditional neuron tracing tools for light microscopy data or Amira’s advanced filament and microtubule detection, which is especially suited for finding these small structures in Cryo-EM or DualBeam data. In conclusion, Amira for Cell Biology is innovative software that offers a solution for most challenges today’s cell biologist’s face.

 
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