scholarly journals Focus: The interface between data collection and data processing in cryo-EM

2017 ◽  
Author(s):  
Nikhil Biyani ◽  
Ricardo D. Righetto ◽  
Robert McLeod ◽  
Daniel Caujolle-Bert ◽  
Daniel Castano-Diez ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Data Processing ◽  
Electron Tomography ◽  
Single Particles ◽  
Transmission Electron ◽  
Computer Image Processing ◽  
Elemental Image ◽  
User Friendly ◽  
High Throughput Manner

We present a new software package called Focus that interfaces cryo-transmission electron microscopy (cryo-EM) data collection with computer image processing. Focus creates a user-friendly environment to import and manage data recorded by direct electron detectors and perform elemental image processing tasks in a high-throughput manner while new data is being acquired at the microscope. It provides the functionality required to remotely monitor the progress of data collection and data processing, which is essential now that automation in cryo-EM allows a steady flow of images of single particles, two-dimensional crystals, or electron tomography data to be recorded in overnight sessions. The rapid detection of any errors that may occur greatly increases the productivity of recording sessions at the electron microscope.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Microdensitometers and Data Processing for Electron Microscopy

1971 ◽  
Vol 29 ◽  
pp. 98-99 ◽  
Author(s):  
Robert Bender ◽  
James E. Rowe
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Transmission Electron Microscopy ◽  
Data Processing ◽  
Error Bounds ◽  
Picture Processing ◽  
Repetitive Work ◽  
Great Cost ◽  
Transmission Electron ◽  
Multiple Measurements

Most of the information obtainable from transmission electron microscopy is lost in the course of normal ‘print and look’ handling -or at least made difficult to retrieve. Not only is there an actual degradation of information, but operations such as the measurement of areas etc. are then carried out manually at great cost in time, and loss of accuracy. One of the main causes of loss of accuracy is the understandable reluctance of competent persons to do a great deal of highly repetitive work. Unfortunately in order to get good error bounds in most cases of interest multiple measurements must be made. Data processing technology is now sufficiently developed to make automatic picture processing an attractive and realizable goal. While this is not specifically a paper on image processing, some simple and possibly generally useful algorithms will be presented.The first step in any data processing schema is data acquisition. In the case of transmission electron microscopy several methods are available, some with advantages in unique situations.

PERANCANGAN SISTEM INFORMASI INFENTARIS SPAREPART HANDPHONE BERBASIS PHP DAN MYSQL DI PLANET PHONE

2019 ◽  
Vol 3 (1) ◽  
pp. 49-61
Author(s):  
Fitriani Dwi Ratna Sari ◽  
Amin Suryana
Keyword(s):  
Information System ◽  
Data Collection ◽  
Data Processing ◽  
Inventory Data ◽  
Literature Study ◽  
Know How ◽  
Internet Connection ◽  
To Come ◽  
Quantitative Descriptive ◽  
Descriptive Method

Research that the author did aim to know how to design inventory system on Planet Phone.The method used is quantitative descriptive method. Data collection techniques used are literature study, observation, and interviews. From the research conducted found that there is a problem on inventory data processing. The process of inventory data processing only by writing using a general ledger. So this causes inaccuracies and delays in reports. Therefore the authors make the information system by using PHP and MySQL database. This system consists of inputting inventory data, inventory reports, sales reports and income reports. As for some suggestions given to tackle the problem is by connecting the system with internet connection, for employees more quickly and effectively in penginputan inventory data and owner can also know the sales reports and income reports more quickly without having to come directly to the store.

THE CHALLENGES OF USING A GIGAPAN IN FIELD BASED MICRO- AND MACRO-SIZED DATA COLLECTION AND IMAGE PROCESSING

2019 ◽  
Author(s):  
Preston Liles ◽  
◽  
Logan Pearson ◽  
Samantha Barnett ◽  
Dakota G. Simpson ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection

scholarly journals Conventional, High-Resolution and Imaging Flow Cytometry: Benchmarking Performance in Characterisation of Extracellular Vesicles

Biomedicines ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 124
Author(s):  
Jaco Botha ◽  
Haley R. Pugsley ◽  
Aase Handberg
Keyword(s):  
Flow Cytometry ◽  
High Resolution ◽  
Extracellular Vesicles ◽  
Single Particles ◽  
Multiple Parameters ◽  
Imaging Flow Cytometry ◽  
Highly Sensitive ◽  
Individual Project ◽  
Benchmarking Performance ◽  
High Throughput Manner

Flow cytometry remains a commonly used methodology due to its ability to characterise multiple parameters on single particles in a high-throughput manner. In order to address limitations with lacking sensitivity of conventional flow cytometry to characterise extracellular vesicles (EVs), novel, highly sensitive platforms, such as high-resolution and imaging flow cytometers, have been developed. We provided comparative benchmarks of a conventional FACS Aria III, a high-resolution Apogee A60 Micro-PLUS and the ImageStream X Mk II imaging flow cytometry platform. Nanospheres were used to systematically characterise the abilities of each platform to detect and quantify populations with different sizes, refractive indices and fluorescence properties, and the repeatability in concentration determinations was reported for each population. We evaluated the ability of the three platforms to detect different EV phenotypes in blood plasma and the intra-day, inter-day and global variabilities in determining EV concentrations. By applying this or similar methodology to characterise methods, researchers would be able to make informed decisions on choice of platforms and thereby be able to match suitable flow cytometry platforms with projects based on the needs of each individual project. This would greatly contribute to improving the robustness and reproducibility of EV studies.

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