2011
DOI: 10.4103/2153-3539.84231
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The accuracy of dynamic predictive autofocusing for whole slide imaging

Abstract: Context:Whole slide imaging (WSI) for digital pathology involves the rapid automated acquisition of multiple high-power fields from a microscope slide containing a tissue specimen. Capturing each field in the correct focal plane is essential to create high-quality digital images. Others have described a novel focusing method which reduces the number of focal planes required to generate accurate focus. However, this method was not applied dynamically in an automated WSI system under continuous motion.Aims:This … Show more

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Cited by 26 publications
(5 citation statements)
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“…[7] Moreover, the advances in slide scanning technology have improved known issues such as uniformity of plane of focus, data storage requirement, and image quality. [8] The sufficiency of improvement is supported by the fact that a small number of institutions have started to pioneer on-site slide scanning for the frozen section as an alternative for the remotely controlled robotic microscope. [4]…”
Section: Discussionmentioning
confidence: 99%
“…[7] Moreover, the advances in slide scanning technology have improved known issues such as uniformity of plane of focus, data storage requirement, and image quality. [8] The sufficiency of improvement is supported by the fact that a small number of institutions have started to pioneer on-site slide scanning for the frozen section as an alternative for the remotely controlled robotic microscope. [4]…”
Section: Discussionmentioning
confidence: 99%
“…A recent study demonstrates that this method is feasible and can generate high quality images. [ 6 ] The study compared the gold standard “stop motion” imaging (which stops at each tile and performs a 50 z-plane focus calculation), to continuous IDS scanning. The two methods showed little variance in the z-position at each tile, indicting IDS imaging is highly accurate compared to the ground truth.…”
Section: A New Concept: Independent Dual Sensor Scanningmentioning
confidence: 99%
“…However, it is less effective when the sample's location varies due to tissue topography variations. [15][16][17][18] Realtime image-based autofocusing offers several approaches, including dual sensor scanning, 19 beam splitter arrays, 20 tilted sensors, 21 phase detection, [22][23][24] deep learning [25][26][27][28][29][30] and dual-LED illumination. [31][32][33][34][35] These methods do not require a pregenerated focus map and can handle samples with varying topography.…”
Section: Introductionmentioning
confidence: 99%
“…One major challenge of this method is its time‐consuming nature. Additionally, skipping tiles can reduce the focus map surveying time but comes at the expense of accuracy in the resulting focus map 19 . Various FoM measures have been used in the literature, initially introduced by Brenner and his colleagues 36 …”
Section: Introductionmentioning
confidence: 99%