Strip mosaicing confocal microscopy for rapid imaging over large areas of excised tissue

Confocal mosaicing microscopy is a developing technology platform for imaging tumor margins directly in fresh tissue, without the processing that is required for conventional pathology. Previously, basal cell carcinoma margins were detected by mosaicing of confocal images of 12 x 12 mm2 of excised tissue from Mohs surgery. This mosaicing took 9 minutes. Recently we reported the initial feasibility of a faster approach called "strip mosaicing" on 10 x 10 mm2 of tissue that was demonstrated in 3 minutes. In this paper we report further advances in instrumentation and software. Rapid mosaicing of confocal images on large areas of fresh tissue potentially offers a means to perform pathology at the bedside. Thus, strip mosaicing confocal microscopy may serve as an adjunct to pathology for imaging tumor margins to guide surgery.

[1]  Daniel S Gareau,et al.  Feasibility of digitally stained multimodal confocal mosaics to simulate histopathology. , 2009, Journal of biomedical optics.

[2]  Minetta C. Liu,et al.  Real-time imaging and characterization of human breast tissue by reflectance confocal microscopy. , 2007, Journal of biomedical optics.

[3]  M. Rajadhyaksha,et al.  Confocal mosaicing microscopy of human skin ex vivo: spectral analysis for digital staining to simulate histology-like appearance. , 2011, Journal of biomedical optics.

[4]  A. Halpern,et al.  Confocal reflectance mosaicing of basal cell carcinomas in Mohs surgical skin excisions. , 2007, Journal of biomedical optics.

[5]  M. Rajadhyaksha,et al.  Confocal examination of nonmelanoma cancers in thick skin excisions to potentially guide mohs micrographic surgery without frozen histopathology. , 2001, The Journal of investigative dermatology.

[6]  Sushmita Mukherjee,et al.  Modified full-field optical coherence tomography: A novel tool for rapid histology of tissues , 2011, Journal of pathology informatics.

[7]  John Kenneth Salisbury,et al.  Real-Time Image Mosaicing for Medical Applications , 2007, MMVR.

[8]  Yogesh G. Patel,et al.  Confocal mosaicing microscopy in skin excisions: a demonstration of rapid surgical pathology , 2009, Journal of microscopy.

[9]  A. Yaroslavsky,et al.  Multimodal confocal microscopy for diagnosing nonmelanoma skin cancers , 2007, Lasers in surgery and medicine.

[10]  A. Torres Detection of basal cell carcinomas in Mohs excisions with fluorescence confocal mosaicing microscopy , 2010 .

[11]  L. Jacobs,et al.  Annals of Surgical Oncology 15(5):1271–1272 DOI: 10.1245/s10434-007-9766-0 Positive Margins: The Challenge Continues for Breast Surgeons , 2008 .

[12]  Zachary M. Eastman,et al.  Confocal mosaicing microscopy in Mohs skin excisions: feasibility of rapid surgical pathology. , 2008, Journal of biomedical optics.

[13]  A. Scope,et al.  In vivo reflectance confocal microscopy of shave biopsy wounds: feasibility of intraoperative mapping of cancer margins , 2010, The British journal of dermatology.

[14]  C. Prinz,et al.  High-resolution miniprobe-based confocal microscopy in combination with video mosaicing (with video). , 2007, Gastrointestinal endoscopy.

[15]  Milind Rajadhyaksha,et al.  Rapid confocal imaging of large areas of excised tissue with strip mosaicing. , 2011, Journal of biomedical optics.

[16]  M. Rajadhyaksha,et al.  Sensitivity and specificity for detecting basal cell carcinomas in Mohs excisions with confocal fluorescence mosaicing microscopy. , 2009, Journal of biomedical optics.

[17]  Caroline Boudoux,et al.  Comprehensive imaging of gastroesophageal biopsy samples by spectrally encoded confocal microscopy. , 2010, Gastrointestinal endoscopy.

[18]  Diana B Petitti,et al.  Bmc Ear, Nose and Throat Disorders Open Access Surgical Margins and Survival after Head and Neck Cancer Surgery , 2022 .