Automated microscopy system for mosaic acquisition and processing

被引:71
作者
Chow, S. K. [1 ]
Hakozaki, H. [1 ]
Price, D. L. [1 ]
MacLean, N. A. B. [1 ]
Deerinck, T. J. [1 ]
Bouwer, J. C. [1 ]
Martone, M. E. [1 ]
Peltier, S. T. [1 ]
Ellisman, M. H. [1 ]
机构
[1] Univ Calif San Diego, Natl Ctr Microscopy & Imaging Res, La Jolla, CA 92093 USA
关键词
fluorescence; image; image alignment; microscopy; montage; mosaic; multiphoton; normalization; shading correction; wide field;
D O I
10.1111/j.1365-2818.2006.01577.x
中图分类号
TH742 [显微镜];
学科分类号
摘要
An automatic mosaic acquisition and processing system for a multiphoton microscope is described for imaging large expanses of biological specimens at or near the resolution limit of light microscopy. In a mosaic, a larger image is created from a series of smaller images individually acquired systematically across a specimen. Mosaics allow wide-field views of biological specimens to be acquired without sacrificing resolution, providing detailed views of biological specimens within context. The system is composed of a fast-scanning, multiphoton, confocal microscope fitted with a motorized, high-precision stage and custom-developed software programs for automatic image acquisition, image normalization, image alignment and stitching. Our current capabilities allow us to acquire data sets comprised of thousands to tens of thousands of individual images per mosaic. The large number of individual images involved in creating a single mosaic necessitated software development to automate both the mosaic acquisition and processing steps. In this report, we describe the methods and challenges involved in the routine creation of very large scale mosaics from brain tissue labelled with multiple fluorescent probes.
引用
收藏
页码:76 / 84
页数:9
相关论文
共 14 条
[1]   Computer-assisted visualizations of neural networks: expanding the field of view using seamless confocal montaging [J].
Beck, JC ;
Murray, JA ;
Willows, AOD ;
Cooper, MS .
JOURNAL OF NEUROSCIENCE METHODS, 2000, 98 (02) :155-163
[2]   Multiphoton excitation provides optical sections from deeper within scattering specimens than confocal imaging [J].
Centonze, VE ;
White, JG .
BIOPHYSICAL JOURNAL, 1998, 75 (04) :2015-2024
[3]   Video-rate scanning two-photon excitation fluorescence microscopy and ratio imaging with cameleons [J].
Fan, GY ;
Fujisaki, H ;
Miyawaki, A ;
Tsay, RK ;
Tsien, RY ;
Ellisman, MH .
BIOPHYSICAL JOURNAL, 1999, 76 (05) :2412-2420
[4]   RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY [J].
FISCHLER, MA ;
BOLLES, RC .
COMMUNICATIONS OF THE ACM, 1981, 24 (06) :381-395
[5]   Resolving morphology and antibody labeling over large distances in tissue sections [J].
Jacobs, MD ;
Donaldson, PJ ;
Cannell, MB ;
Soeller, C .
MICROSCOPY RESEARCH AND TECHNIQUE, 2003, 62 (01) :83-91
[6]   Feature based registration of fluorescent LSCM imagery using region centroids [J].
Lee, SC ;
Bajcsy, P .
Medical Imaging 2005: Image Processing, Pt 1-3, 2005, 5747 :170-181
[7]   Correction of uneven illumination (vignetting) in digital microscopy images [J].
Leong, FJWM ;
Brady, M ;
McGee, JO .
JOURNAL OF CLINICAL PATHOLOGY, 2003, 56 (08) :619-621
[9]   REAL-TIME VIDEO MOSAICKING OF THE OCEAN-FLOOR [J].
MARKS, RL ;
ROCK, SM ;
LEE, MJ .
IEEE JOURNAL OF OCEANIC ENGINEERING, 1995, 20 (03) :229-241
[10]   The cell-centered database - A database for multiscale structural and protein localization data from light and electron microscopy [J].
Martone, ME ;
Zhang, SL ;
Gupta, A ;
Qian, XF ;
He, HY ;
Price, DL ;
Wong, M ;
Santini, S ;
Ellisman, MH .
NEUROINFORMATICS, 2003, 1 (04) :379-395