The accuracy of dynamic predictive autofocusing for whole slide imaging

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 report measures the accuracy of this method when applied in a rapid continuous scan mode using a dual sensor WSI system with interleaved acquisition of images. Methods: We acquired over 400 tiles in a "stop and go" scan mode, surveying the entire z depth in each tile and used this as ground truth. We compared this ground truth focal height to the focal height determined using a rapid 3-point focus algorithm applied dynamically in a continuous scanning mode. Results: Our data showed the average focal height error of 0.30 (±0.27) μm compared to ground truth, which is well within the system′s depth of field. On a tile by tile assessment, approximately 95% of the tiles were within the system′s depth of field. Further, this method was six times faster than acquiring tiles compared to the same method in a non-continuous scan mode. Conclusions: The data indicates that the method employed can yield a significant improvement in scan speed while maintaining highly accurate autofocusing.

[1]  Bradley J Nelson,et al.  Autofocusing in computer microscopy: Selecting the optimal focus algorithm , 2004, Microscopy research and technique.

[2]  K Cook,et al.  Comparison of autofocus methods for automated microscopy. , 1991, Cytometry.

[3]  Anil Parwani,et al.  Whole slide imaging for teleconsultation and clinical use , 2010, Journal of pathology informatics.

[4]  Mari Mino-Kenudson,et al.  Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations. , 2009, Archives of pathology & laboratory medicine.

[5]  J. F. Brenner,et al.  An automated microscope for cytologic research a preliminary evaluation. , 1976, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.

[6]  Yukako Yagi,et al.  Primary histologic diagnosis using automated whole slide imaging: a validation study , 2006, BMC clinical pathology.

[7]  Anil V Parwani,et al.  Evaluation of whole slide image immunohistochemistry interpretation in challenging prostate needle biopsies. , 2008, Human pathology.

[8]  Gloria Bueno García,et al.  Critical Comparison of 31 Commercially Available Digital Slide Systems in Pathology , 2006, International journal of surgical pathology.

[9]  A. Jara-Lazaro,et al.  Digital pathology: exploring its applications in diagnostic surgical pathology practice , 2010, Pathology.

[10]  Siavash Yazdanfar,et al.  Simple and robust image-based autofocusing for digital microscopy. , 2008, Optics express.

[11]  Kristine A. Erps,et al.  Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future. , 2009, Human pathology.

[12]  Yukako Yagi,et al.  Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. , 2006, Human pathology.

[13]  Tim-Rasmus Kiehl,et al.  Primary frozen section diagnosis by robotic microscopy and virtual slide telepathology: the University Health Network experience. , 2009, Human pathology.

[14]  Vahid Mashayekhi,et al.  Feasibility and diagnostic agreement in teledermatopathology using a virtual slide system. , 2007, Human pathology.