10 "Ficheiro:3D-LSM.JPG".

Ficheiro:3D-LSM.JPG

Description3D-LSM.JPG Deutsch: 3D-LSM Date 6 August 2013, 13:46:43 Source Own work Author SurfaceC45...


Ficheiro:ZEISS ELYRA PS.1 3D Superresolution System with LSM 880 (6908559011).jpg

DescriptionZEISS ELYRA PS.1 3D Superresolution System with LSM 880 (6908559011).jpg ZEISS ELYRA combines two powerful technologies dedicated to superresolution...


Ficheiro:IntLSM J.jpg

+Cx; Zx2=Zx*Zx; Zy2=Zy*Zy; dX=Zx-AlphaX; dY=Zy-AlphaY; d=dX*dX+dY*dY; }; /* LSM */ if ((Iteration%2)==0) /* even or odd number */ { array[iTemp]=0; /* Red*/...


Ficheiro:Rat primary cortical neuron culture, 3D reconstruction (30614936992).jpg

described at URL: https://www.flickr.com/photos/zeissmicro/30614936992/ operator: Flickr URL: https://live.staticflickr.com/5329/30614936992_138f2f3ef3_o.jpg...


Ficheiro:ZEISS LSM 800 for Materials (26711619455).jpg

need for materials analysis. Characterize 3D surfaces' topography in your lab or multi-user facility. LSM 800 enables precise, three-dimensional imaging...


Ficheiro:Julia IIM 1.jpg

using IIM with random choose of one of two roots. 3d-image modified decomposition and IIM/J LSM/J B&W LSM/J with colour It is a console C program ( one file)...


Ficheiro:ZEISS LSM 800 with Airyscan- Your Compact Confocal Power Pack (15698675523).jpg

DescriptionZEISS LSM 800 with Airyscan- Your Compact Confocal Power Pack (15698675523).jpg Confocal imaging demands the very best imaging quality. With LSM 800 you...


Ficheiro:Correlative Microscopy with ZEISS Shuttle&Find - MERLIN and LSM 800 (16292616486).jpg

DescriptionCorrelative Microscopy with ZEISS Shuttle&Find - MERLIN and LSM 800 (16292616486).jpg ZEISS is the sole provider of light and electron microscopes and...


Ficheiro:Microfluidic channel, confocal 3D view (26183999723).jpg

confocal 3D view (26183999723).jpg Microfluidic channel, 3D-view of color coded height map. Objective: C Epiplan-APOCHROMAT 10×/0.4. ZEISS LSM 800 for...


Ficheiro:Permian triassic 252ma co2 450 true color like map 1.png

axis=0) #average the data from the 4d arrays into 3d arrays pr_ar = np.mean(pr_raw, axis=0) lsm_ar = np.mean(lsm_raw, axis=0) sic_ar = np.mean(sic_raw, axis=0)...