scholarly journals Automated drawing tube (camera lucida) method in light microscopy images analysis can comes true

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Saeed Kermani ◽  
Fatemeh Vahabi ◽  
Zahra Vahabi ◽  
Nader Pestechian
2012 ◽  
Vol 248 (1) ◽  
pp. 6-22 ◽  
Author(s):  
F. PICCININI ◽  
E. LUCARELLI ◽  
A. GHERARDI ◽  
A. BEVILACQUA

2010 ◽  
Vol 238 (1) ◽  
pp. 21-26 ◽  
Author(s):  
S. LEPPER ◽  
M. MERKEL ◽  
A. SARTORI ◽  
M. CYRKLAFF ◽  
F. FRISCHKNECHT

PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e84557 ◽  
Author(s):  
Xing Ming ◽  
Anan Li ◽  
Jingpeng Wu ◽  
Cheng Yan ◽  
Wenxiang Ding ◽  
...  

1992 ◽  
Author(s):  
Mylene Roussel ◽  
D. Fontaine ◽  
Xiaowei Tu

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Romain Franconville ◽  
Celia Beron ◽  
Vivek Jayaraman

The central complex is a highly conserved insect brain region composed of morphologically stereotyped neurons that arborize in distinctively shaped substructures. The region is implicated in a wide range of behaviors and several modeling studies have explored its circuit computations. Most studies have relied on assumptions about connectivity between neurons based on their overlap in light microscopy images. Here, we present an extensive functional connectome of Drosophila melanogaster’s central complex at cell-type resolution. Using simultaneous optogenetic stimulation, calcium imaging and pharmacology, we tested the connectivity between 70 presynaptic-to-postsynaptic cell-type pairs. We identified numerous inputs to the central complex, but only a small number of output channels. Additionally, the connectivity of this highly recurrent circuit appears to be sparser than anticipated from light microscopy images. Finally, the connectivity matrix highlights the potentially critical role of a class of bottleneck interneurons. All data are provided for interactive exploration on a website.


2015 ◽  
Vol 21 (4) ◽  
pp. 863-875 ◽  
Author(s):  
Kamil Novak ◽  
Stanislav Polzer ◽  
Michal Tichy ◽  
Jiri Bursa

AbstractMechanical properties of the arterial wall depend largely on orientation and density of collagen fiber bundles. Several methods have been developed for observation of collagen orientation and density; the most frequently applied collagen-specific manual approach is based on polarized light (PL). However, it is very time consuming and the results are operator dependent. We have proposed a new automated method for evaluation of collagen fiber direction from two-dimensional polarized light microscopy images (2D PLM). The algorithm has been verified against artificial images and validated against manual measurements. Finally the collagen content has been estimated. The proposed algorithm was capable of estimating orientation of some 35 k points in 15 min when applied to aortic tissue and over 500 k points in 35 min for Achilles tendon. The average angular disagreement between each operator and the algorithm was −9.3±8.6° and −3.8±8.6° in the case of aortic tissue and −1.6±6.4° and 2.6±7.8° for Achilles tendon. Estimated mean collagen content was 30.3±5.8% and 94.3±2.7% for aortic media and Achilles tendon, respectively. The proposed automated approach is operator independent and several orders faster than manual measurements and therefore has the potential to replace manual measurements of collagen orientation via PLM.


Author(s):  
Shengli Fan ◽  
Mei Yu ◽  
Gangyi Jiang ◽  
Yigang Wang ◽  
Hao Jiang ◽  
...  

For the light microscopy images that have the characteristics of shallow depth of field, serious distortion and poor resolution, mismatch is a ubiquitous phenomenon. The paper presents a mismatch detection method for the stereo light microscopy stereo matching. Affine transformation matrix and matching constraint condition are calibrated by the calibration board which has the precision solid dots and the motorized stage. Bias vector of affine transformation of each matching pair is taken as the criteria to apply mismatch detection. The experimental results show that the method can detect more mismatching pairs and preserve more matching pairs than the traditional RANSAC method and the epipolar rectification method.


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