Faculty Opinions recommendation of A call for public archives for biological image data.

2019 ◽  
Author(s):  
Wladek Minor ◽  
David Cooper
Keyword(s):  
Image Data ◽  
Public Archives ◽  
Biological Image

scholarly journals A call for public archives for biological image data

2018 ◽  
Vol 15 (11) ◽  
pp. 849-854 ◽  
Author(s):  
Jan Ellenberg ◽  
Jason R. Swedlow ◽  
Mary Barlow ◽  
Charles E. Cook ◽  
Ugis Sarkans ◽  
...  
Keyword(s):  
Image Data ◽  
Public Archives ◽  
Biological Image

scholarly journals Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 334
Author(s):  
Gabriel G. Martins ◽  
Fabrice P. Cordelières ◽  
Julien Colombelli ◽  
Rocco D’Antuono ◽  
Ofra Golani ◽  
...  
Keyword(s):  
Life Science ◽  
Image Data ◽  
Science Research ◽  
Training Programme ◽  
Success Story ◽  
Intensive Training ◽  
Success Stories ◽  
Training Schools ◽  
Training Activities ◽  
Biological Image

NEUBIAS, the European Network of Bioimage Analysts, was created in 2016 with the goal of improving the communication and the knowledge transfer among the various stakeholders involved in the acquisition, processing and analysis of biological image data, and to promote the establishment and recognition of the profession of Bioimage Analyst. One of the most successful initiatives of the NEUBIAS programme was its series of 15 training schools, which trained over 400 new Bioimage Analysts, coming from over 40 countries. Here we outline the rationale behind the innovative three-level program of the schools, the curriculum, the trainer recruitment and turnover strategy, the outcomes for the community and the career path of analysts, including some success stories. We discuss the future of the materials created during this programme and some of the new initiatives emanating from the community of NEUBIAS-trained analysts, such as the NEUBIAS Academy. Overall, we elaborate on how this training programme played a key role in collectively leveraging Bioimaging and Life Science research by bringing the latest innovations into structured, frequent and intensive training activities, and on why we believe this should become a model to further develop in Life Sciences.

scholarly journals Analysis of Multidimensional Biological Image Data

BioTechniques ◽  
2002 ◽  
Vol 33 (6) ◽  
pp. 1268-1273 ◽  
Author(s):  
K.W. Eliceiri ◽  
C. Rueden ◽  
W.A. Mohler ◽  
W.L. Hibbard ◽  
J.G. White
Keyword(s):  
Image Data ◽  
Biological Image

scholarly journals Visualization approaches for multidimensional biological image data

BioTechniques ◽  
2007 ◽  
Vol 43 (1S) ◽  
pp. S31-S36 ◽  
Author(s):  
Curtis T. Rueden ◽  
Kevin W. Eliceiri
Keyword(s):  
Image Data ◽  
Biological Image

scholarly journals VisBio: A Computational Tool for Visualization of Multidimensional Biological Image Data

Traffic ◽  
2004 ◽  
Vol 5 (6) ◽  
pp. 411-417 ◽  
Author(s):  
Curtis Rueden ◽  
Kevin W. Eliceiri ◽  
John G. White
Keyword(s):  
Image Data ◽  
Computational Tool ◽  
Biological Image

scholarly journals REDUCING THE SPORTS INJURY THROUGH FUNCTION MOVEMENT BIOLOGICAL IMAGE DATA SCREENING

2021 ◽  
Vol 27 (3) ◽  
pp. 286-290
Author(s):  
Shuyun Zhu
Keyword(s):  
Injury Risk ◽  
Image Data ◽  
Video Data ◽  
Core Stability ◽  
Test Results ◽  
Level Of Evidence ◽  
Warm Up ◽  
The Impact ◽  
Data Screening ◽  
Biological Image

ABSTRACT Introduction Among the many cases of sports injuries, the incidence of musculoskeletal injuries remains high. After a musculoskeletal injury occurs, athletes often need to suspend training and undergo rehabilitation. A suitable sport mode requires athletes to have sufficient joint range of motion, core stability, and balance ability in different positions to complete various complex movements in training and competition. Objective The paper analyzes the impact of warm-up exercises before the test on the test results of functional sports biological image data screening ( FMS TM ) and provides references for unifying test conditions, checking the reliability of FMS TM repeated tests, and discussing the comparability of the research results. Methods The paper used the same password and process to test 12 young male volleyball professional athletes without warm-up and warm-up. The two-dimensional motion analysis system Dartfish Pursuit 8.0 was used to analyze the video data recorded by the two cameras simultaneously. Results In the two tests before and after, the hurdle step score (1.75±0.62 vs. 2.42±0.52) and the total score (13.50±2.20 vs. 16.42±2.15) were significantly higher than those without the warm-up test (P<0.01). Besides, in squats (1.58±0.67 vs. 1.92±0.67), straight lunges (2.00±0.43 vs. 2.50±0.52), active straight leg lifts (1.50±0.67 vs. 2.00±0.60), rotation stability (1.42) ±0.52 vs. 1.92±0.29) showed a significant increase in the score (P<0.05). Conclusions Warm-up exercises before the test can improve the test results. This abnormal movement pattern observed only by visual inspection may not truly reflect the “dysfunction” of the movement. In the case of ignoring the pre-test warm-up factors, feedback on sports performance and formulating training strategies, this conclusion of predicting injury risk and evaluating training effects may have specific limitations in its reference value. Level of evidence II; Therapeutic studies - investigation of treatment results.

scholarly journals FUNCTIONAL ACTION BIOLOGICAL IMAGE DATA SCREENING METHOD TO REDUCE SPORTS INJURY

2021 ◽  
Vol 27 (4) ◽  
pp. 414-418
Author(s):  
Youdong Wang
Keyword(s):  
Evaluation Method ◽  
Sports Injuries ◽  
Screening Method ◽  
Image Data ◽  
Sports Injury ◽  
Cutoff Point ◽  
Chi Square ◽  
Level Of Evidence ◽  
Rugby Players ◽  
Biological Image

ABSTRACT Introduction: The Functional Movement Test (FMS) is an evaluation method for the basic movement patterns of the human body that is designed by Gray Cook. Objective: This paper explores the application value of functional action test (FMS) biological image data in the risk assessment of sports injuries of Chinese rugby players. Methods: Taking the active national football team and provincial football players as the object, the standard FMS test is used to collect the data to determine the best deadline for the total FMS score. Results: The area under the ROC curve (AUC) of the overall athletes, men and women was significantly different from the assumption of AUC=0.5, which were 0.780 (P=0.000), 0.877 (P=0.001), 0.7130 (P=0.013); The best cutoff points corresponding to the total score of FMS are 13.5 points, 15.5 points, and 13.5 points, respectively. The chi-square test showed that the prevalence of the positive group (the total FMS score was less than the corresponding cutoff point) was significantly higher than the negative group (the total FMS score was greater than the corresponding cutoff point) (P<0.01). The OR values of the total athlete, male and female FMS total score positive groups were 25.85 (95%CI: 3.34∼200.23), 25.00 (95%CI: 2.36∼264.80), 14.22 (95%CI: 1.76∼114.92). Conclusions: Among Chinese rugby players, the total score of FMS has a strong correlation with non-contact sports injuries. The score is 13.5 for women and 15.5 for men. Level of evidence II; Therapeutic studies - investigation of treatment results.

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