CIVIT dataset: Integral microscopy with Fourier plane recording
This article describes a dataset of synthetic images representing biological scenery as captured by a Fourier Lightfield Microscope (FLMic). It includes 22,416 images related to eight scenes composed of 3D models of objects typical for biological samples, such as red blood cells and bacteria, and ca...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922010228 |
| _version_ | 1797938142806802432 |
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| author | Sergio Moreschini Filipe Gama Robert Bregovic Atanas Gotchev |
| author_facet | Sergio Moreschini Filipe Gama Robert Bregovic Atanas Gotchev |
| author_sort | Sergio Moreschini |
| collection | DOAJ |
| description | This article describes a dataset of synthetic images representing biological scenery as captured by a Fourier Lightfield Microscope (FLMic). It includes 22,416 images related to eight scenes composed of 3D models of objects typical for biological samples, such as red blood cells and bacteria, and categorized into Cells and Filaments groups. For each scene, two types of image data structures are provided: 51 × 51 Elemental Images (EIs) representing Densely Sampled Light Fields (DSLF) and 201 images composing Z-Scans of the scenes. Auxiliary data also includes information about camera intrinsic and extrinsic calibration parameters, object descriptions, and MATLAB scripts for camera pose compensation. The images have been generated using Blender. The dataset can be used to develop and assess methods for volumetric reconstruction from Light Field (LF) images captured by a FLMic. |
| first_indexed | 2024-04-10T18:55:04Z |
| format | Article |
| id | doaj.art-c2adb7dd8ce64bb6b0832c0ad2643ec2 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-10T18:55:04Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-c2adb7dd8ce64bb6b0832c0ad2643ec22023-02-01T04:26:17ZengElsevierData in Brief2352-34092023-02-0146108819CIVIT dataset: Integral microscopy with Fourier plane recordingSergio Moreschini0Filipe Gama1Robert Bregovic2Atanas Gotchev3Tampere University, Korkeakoulunkatu 1, 33720 Tampere, FinlandTampere University, Korkeakoulunkatu 1, 33720 Tampere, FinlandCorresponding authors.; Tampere University, Korkeakoulunkatu 1, 33720 Tampere, FinlandTampere University, Korkeakoulunkatu 1, 33720 Tampere, FinlandThis article describes a dataset of synthetic images representing biological scenery as captured by a Fourier Lightfield Microscope (FLMic). It includes 22,416 images related to eight scenes composed of 3D models of objects typical for biological samples, such as red blood cells and bacteria, and categorized into Cells and Filaments groups. For each scene, two types of image data structures are provided: 51 × 51 Elemental Images (EIs) representing Densely Sampled Light Fields (DSLF) and 201 images composing Z-Scans of the scenes. Auxiliary data also includes information about camera intrinsic and extrinsic calibration parameters, object descriptions, and MATLAB scripts for camera pose compensation. The images have been generated using Blender. The dataset can be used to develop and assess methods for volumetric reconstruction from Light Field (LF) images captured by a FLMic.http://www.sciencedirect.com/science/article/pii/S2352340922010228Fourier lightfield microscopyLight fieldBlenderZ-scanZ-stackCells |
| spellingShingle | Sergio Moreschini Filipe Gama Robert Bregovic Atanas Gotchev CIVIT dataset: Integral microscopy with Fourier plane recording Data in Brief Fourier lightfield microscopy Light field Blender Z-scan Z-stack Cells |
| title | CIVIT dataset: Integral microscopy with Fourier plane recording |
| title_full | CIVIT dataset: Integral microscopy with Fourier plane recording |
| title_fullStr | CIVIT dataset: Integral microscopy with Fourier plane recording |
| title_full_unstemmed | CIVIT dataset: Integral microscopy with Fourier plane recording |
| title_short | CIVIT dataset: Integral microscopy with Fourier plane recording |
| title_sort | civit dataset integral microscopy with fourier plane recording |
| topic | Fourier lightfield microscopy Light field Blender Z-scan Z-stack Cells |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922010228 |
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