arrow
Return

A postdoctoral training program in bioimage analysis

delete2024-09-01
delete2
delete
OA
AI
B
Beth A. Cimini *
C
Callum Tromans‐Coia
D
David R. Stirling
S
Suganya Sivagurunathan
R
Rebecca A. Senft
P
Pearl V. Ryder
E
Esteban Miglietta
P
Paula Llanos
N
Nasim Jamali
B
Barbara Diaz‐Rohrer
S
Shatavisha Dasgupta
M
Mário Costa Cruz
E
Erin Weisbart
A
Anne E. Carpenter
DOI:10.1091/mbc.E24-05-0214delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
We herein describe a postdoctoral training program designed to train biologists with microscopy experience in bioimage analysis. We detail the rationale behind the program, the various components of the training program, and outcomes in terms of works produced and the career effects on past participants. We analyze the results of an anonymous survey distributed to past and present participants, indicating overall high value of all 12 rated aspects of the program, but significant heterogeneity in which aspects were most important to each participant. Finally, we propose this model as a template for other programs which may want to train experts in professional skill sets, and discuss the important considerations when running such a program. We believe that such programs can have extremely positive impact for both the trainees themselves and the broader scientific community.
Keywords:
IMAGE
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Molecular Biology of the Cell cover
Molecular Biology of the Cell
IF:
2.7
Papers:
1.0W
Citations:
2.4W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
Cited Papers

Cited Papers

Patient perceptions of the challenges of recruitment to a renal randomised trial registry: a pilot questionnaire-based study
err2021-09-06
err0
errOAAI
errEllen Murphy; Aoife O’Keeffe; Niamh O Shea; Eva Long; Joseph A. Eustace; Frances Shiely
errShare
errSave
ilastik: interactive machine learning for (bio) image analysis
err2019-09-30
err1.7K
errOAAI
errBerg, Stuart; Kutra, Dominik; Kroeger, Thorben; Straehle, Christoph N.; Kausler, Bernhard X.; Haubold, Carsten; Schiegg, Martin; Ales, Janez; Beier, Thorsten; Rudy, Markus; Eren, Kemal; Cervantes, Jaime I.; Xu, Buote; Beuttenmueller, Fynn; Wolny, Adrian; Zhang, Chong; Koethe, Ullrich; Hamprecht, Fred A.; Kreshuk, Anna
errShare
errSave
Allelic Frequency of DPYD Genetic Variants in Patients With Cancer in Spain: The PhotoDPYD Study
err2023-04-04
err0
errOAAI
errMarta Miarons; Alba Manzaneque Gordón; Pau Riera; Fernando Gutiérrez Nicolás; Laila Abdel-Kader Martin; María José Agustín; Mª Aranzazu Alcacera López; Maria Dolores Alonso Castañé; Tamara Álvarez Martín; Juan José Beloqui; Sara Bernal Noguera; Amparo Burgos San José; Ana Isabel Cachafeiro Pin; Laura Castellote Belles; David Conde-Estévez; Marina Corrales Paz; Marc Díez García; Fernando Do Pazo Oubiña; Jorge Fernández Fradejas; Pau Frias Ruíz; Xandra García González; Marta Gilabert Sotoca; Silvia González Suárez; Diana Heredia; Ana Hernández Guío; Clara Herranz Muñoz; Cristina Ibáñez Collado; Lucía Jiménez Pichardo; Elena López Aspiroz; Luis López Ferández; María Luque Jiménez; María José Martínez Bautista; Juan Eduardo Megías Vericat; Alejandra Melgarejo Ortuño; Inés Monge; Alberto Morales Barrios; María Moreno; Ivette Mourani Padrón; Ruben Pampín Sánchez; Albert Planas Giner; Begoña Porta Oltra; Elena Prado Mel; Ruth Ramos Díaz; Ana Riestra Ayora; Claudia Rodríguez Moreta; Alejandro Santiago Pérez; Rocío Tamayo Bermejo; María Vuelta Arce
errShare
errSave
NIH Image to ImageJ: 25 years of image analysis
err2012-06-28
err5.0W
errOAAI
errSchneider, Caroline A.; Rasband, Wayne S.; Eliceiri, Kevin W.
errShare
errSave
researcher View more