Abstract
Objective: A low-cost microscope slide scanner was constructed for the purpose of digital imaging of newborn piglet brain
tissue and to quantify fluorescent microspheres in tissue.
Methods: Using a standard digital single-lens reflex (DSLR) camera, fluorescent imaging of newborn piglet brain tissue was
performed. A computer algorithm available for download was created to detect fluorescent microspheres in the brain tissue
slides and to calculate regional cerebral blood flow (rCBF). The precision of the algorithm was tested by comparing with
manual counting of the fluorescent microspheres. Finally, bright-field imaging was tested by adding light diffuser film.
Results: Cost of the slide scanner was a fraction of the cost of a commercial slide scanner. The slide scanner was able to image
a large number of tissue slides in a semiautomatic manner and provided a large field of view (FOV) of 101 mm2
combined with
a resolution of 2.9 µm. The mean difference (SD) between manual and automatic counts was in absolute numbers 0.32 (1.5)
microspheres ranging from -5 to 5 microspheres per slide. The relative total difference between automatic and manual counts
was -3.1%.
Conclusions: A slide scanner was constructed and an automatic algorithm to detect fluorescent microspheres in tissue was
developed and validated and showed an acceptable difference to “gold standard” manual counting. The slide scanner can be
regarded as a low-cost alternative for researchers when digital slide imaging and quantification of fluorescent microspheres are
needed.
Original language | English |
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Journal | Journal of Biomedical Graphics and Computing |
Volume | 5 |
Issue number | 2 |
Pages (from-to) | 33-39 |
ISSN | 1925-4008 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Fluorescence
- Slide scanner
- Microspheres
- Microscopy
- Cerebral blood flow
- Bright-field