Literature DB >> 19963008

Neurolucida Lucivid versus Neurolucida camera: A quantitative and qualitative comparison of three-dimensional neuronal reconstructions.

Kaeley Anderson1, Erin Yamamoto, Joshua Kaplan, Markus Hannan, Bob Jacobs.   

Abstract

A critical issue in quantitative neuromorphology is the accuracy and subsequent reliability of the tracing techniques employed to characterize neuronal components. Historically, the camera lucida was the only option for such investigations. In 1987, MBF Bioscience, Inc. (Williston, VT) developed the integrative Neurolucida computer-microscope system, replacing the camera lucida drawing tube with a Lucivid cathode ray tube, thereby allowing computer overlays directly on the view through microscope oculars. Subsequent advances in digital cameras have allowed the Lucivid system to be replaced so that microscope images can be traced by viewing the digital image on a computer monitor. Indeed, the camera systems now outsell Lucivid systems 9 to 1 (J. Glaser, personal communication, 08/2008). Nevertheless, researchers seldom note which of these configurations are being used (which may confound the accuracy of data sharing), and there have been no published comparisons of the Lucivid and camera configurations. The present study thus assesses the relative accuracy of these two hardware configurations by examining reconstructions of human pyramidal neurons. We report significant differences with respect to dendritic spines, with the camera estimates of spine counts being greater than those obtained with the Lucivid system. Potential underlying reasons (e.g., magnification, illumination, and resolution, as well as observer ergonomic differences between the two systems) for these quantitative findings are explored here, along with qualitative observations on the relative strengths of each configuration. Copyright 2009 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19963008     DOI: 10.1016/j.jneumeth.2009.11.024

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  5 in total

1.  Dendritic morphology of pyramidal neurons in the chimpanzee neocortex: regional specializations and comparison to humans.

Authors:  Serena Bianchi; Cheryl D Stimpson; Amy L Bauernfeind; Steven J Schapiro; Wallace B Baze; Mark J McArthur; Ellen Bronson; William D Hopkins; Katerina Semendeferi; Bob Jacobs; Patrick R Hof; Chet C Sherwood
Journal:  Cereb Cortex       Date:  2012-08-08       Impact factor: 5.357

2.  The natverse, a versatile toolbox for combining and analysing neuroanatomical data.

Authors:  Alexander Shakeel Bates; James D Manton; Sridhar R Jagannathan; Marta Costa; Philipp Schlegel; Torsten Rohlfing; Gregory Sxe Jefferis
Journal:  Elife       Date:  2020-04-14       Impact factor: 8.140

3.  Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types.

Authors:  Kerry M Brown; Izumi Sugihara; Yoshikazu Shinoda; Giorgio A Ascoli
Journal:  J Neurosci       Date:  2012-10-17       Impact factor: 6.167

4.  Putative dendritic correlates of chronic traumatic encephalopathy: A preliminary quantitative Golgi exploration.

Authors:  Allysa Warling; Riri Uchida; Hyunsoo Shin; Coby Dodelson; Madeleine E Garcia; N Beckett Shea-Shumsky; Sarah Svirsky; Morgan Pothast; Hunter Kelley; Cynthia M Schumann; Christine Brzezinski; Melissa D Bauman; Allyson Alexander; Ann C McKee; Thor D Stein; Matthew Schall; Bob Jacobs
Journal:  J Comp Neurol       Date:  2020-09-23       Impact factor: 3.215

5.  Comparative neuronal morphology of the cerebellar cortex in afrotherians, carnivores, cetartiodactyls, and primates.

Authors:  Bob Jacobs; Nicholas L Johnson; Devin Wahl; Matthew Schall; Busisiwe C Maseko; Albert Lewandowski; Mary A Raghanti; Bridget Wicinski; Camilla Butti; William D Hopkins; Mads F Bertelsen; Timothy Walsh; John R Roberts; Roger L Reep; Patrick R Hof; Chet C Sherwood; Paul R Manger
Journal:  Front Neuroanat       Date:  2014-04-23       Impact factor: 3.856

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.