Real-time deformable registration of multi-modal whole slides for digital pathology

2011 ◽  
Vol 35 (7-8) ◽  
pp. 542-556 ◽  
Author(s):  
Dan Mueller ◽  
Dirk Vossen ◽  
Bas Hulsken
Keyword(s):  
Real Time ◽  
Digital Pathology ◽  
Deformable Registration

scholarly journals Augmented Reality Technology Using Microsoft HoloLens in Anatomic Pathology

2018 ◽  
Vol 142 (5) ◽  
pp. 638-644 ◽  
Author(s):  
Matthew G. Hanna ◽  
Ishtiaque Ahmed ◽  
Jeffrey Nine ◽  
Shyam Prajapati ◽  
Liron Pantanowitz
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mixed Reality ◽  
Digital Pathology ◽  
Remote Supervision ◽  
Augmented Reality Technology ◽  
Microsoft Hololens ◽  
Microscopic Pathology ◽  
Areas Of Interest ◽  
Whole Slide Images

Context Augmented reality (AR) devices such as the Microsoft HoloLens have not been well used in the medical field. Objective To test the HoloLens for clinical and nonclinical applications in pathology. Design A Microsoft HoloLens was tested for virtual annotation during autopsy, viewing 3D gross and microscopic pathology specimens, navigating whole slide images, telepathology, as well as real-time pathology-radiology correlation. Results Pathology residents performing an autopsy wearing the HoloLens were remotely instructed with real-time diagrams, annotations, and voice instruction. 3D-scanned gross pathology specimens could be viewed as holograms and easily manipulated. Telepathology was supported during gross examination and at the time of intraoperative consultation, allowing users to remotely access a pathologist for guidance and to virtually annotate areas of interest on specimens in real-time. The HoloLens permitted radiographs to be coregistered on gross specimens and thereby enhanced locating important pathologic findings. The HoloLens also allowed easy viewing and navigation of whole slide images, using an AR workstation, including multiple coregistered tissue sections facilitating volumetric pathology evaluation. Conclusions The HoloLens is a novel AR tool with multiple clinical and nonclinical applications in pathology. The device was comfortable to wear, easy to use, provided sufficient computing power, and supported high-resolution imaging. It was useful for autopsy, gross and microscopic examination, and ideally suited for digital pathology. Unique applications include remote supervision and annotation, 3D image viewing and manipulation, telepathology in a mixed-reality environment, and real-time pathology-radiology correlation.

scholarly journals Making a science out of preanalytics: An analytical method to determine optimal tissue fixation in real-time

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258495
Author(s):  
Daniel R. Bauer ◽  
Torsten Leibold ◽  
David R. Chafin
Keyword(s):  
Real Time ◽  
Analytical Method ◽  
Digital Pathology ◽  
Innovative Technology ◽  
Tissue Fixation ◽  
Predictive Algorithm ◽  
Dynamic Fixation ◽  
Fixation Techniques ◽  
Fixation Protocol ◽  
Standard Fixation

Modern histopathology is built on the cornerstone principle of tissue fixation, however there are currently no analytical methods of detecting fixation and as a result, in clinical practice fixation is highly variable and a persistent source of error. We have previously shown that immersion in cold formalin followed by heated formalin is beneficial for preservation of histomorphology and have combined two-temperature fixation with ultra-sensitive acoustic monitoring technology that can actively detect formalin diffusing into a tissue. Here we expand on our previous work by developing a predictive statistical model to determine when a tissue is properly diffused based on the real-time acoustic signal. We trained the model based on the morphology and characteristic diffusion curves of 30 tonsil cores. To test our model, a set of 87 different tonsil samples were fixed with four different protocols: dynamic fixation according to our predictive algorithm (C/H:Dynamic, N = 18), gold-standard 24 hour room temperature (RT:24hr, N = 24), 6 hours in cold formalin followed by 1 hour in heated formalin (C/H:6+1, N = 21), and 2 hours in cold formalin followed by 1 hour in heated formalin (C/H:2+1, N = 24). Digital pathology analysis revealed that the C/H:Dynamic samples had FOXP3 staining that was spatially uniform and statistically equivalent to RT:24hr and C/H:6+1 fixation protocols. For comparison, the intentionally underfixed C/H:2+1 samples had significantly suppressed FOXP3 staining (p<0.002). Furthermore, our dynamic fixation protocol produced bcl-2 staining concordant with standard fixation techniques. The dynamically fixed samples were on average only submerged in cold formalin for 4.2 hours, representing a significant workflow improvement. We have successfully demonstrated a first-of-its-kind analytical method to assess the quality of fixation in real-time and have confirmed its performance with quantitative analysis of downstream staining. This innovative technology could be used to ensure high-quality and standardized staining as part of an expedited and fully documented preanalytical workflow.

WE-E-BRC-02: Real-Time Deformable Registration Using Multi-Pixel X-Ray Technology for Image-Guided Lung Radiotherapy

2011 ◽  
Vol 38 (6Part32) ◽  
pp. 3818-3819
Author(s):  
C Chou ◽  
B Frederick ◽  
S Chang ◽  
S Pizer
Keyword(s):  
Real Time ◽  
Deformable Registration ◽  
X Ray ◽  
Image Guided ◽  
Lung Radiotherapy

Nuclei Segmentation for Quantification of Brain Tumors in Digital Pathology Images

2018 ◽  
Vol 10 (2) ◽  
pp. 36-49 ◽  
Author(s):  
Peifang Guo ◽  
Alan Evans ◽  
Prabir Bhattacharya
Keyword(s):  
Brain Tumors ◽  
Real Time ◽  
Level Set ◽  
Average Rate ◽  
Digital Pathology ◽  
Similarity Index ◽  
Threshold Level ◽  
Problem Space ◽  
Nuclei Segmentation ◽  
Validation Stage

In this article, based on image transformation of HSV (Hue, Saturation, Value), the authors propose a method for cancer nuclei segmentation when such conflicts of cancer nuclei involve ‘omics' indicative of brain tumors pathologically. To constrain the problem space in the region of color information, i.e. cancer nuclei, they convert the images into the V component of HSV first, and then apply the threshold level-set segmentation and the sparsity technique (VTLS-ST) in segmentation. The combined technique of the proposed VTLS-ST is implemented using the real-time CBTC dataset in the validation stage. The proposed method exhibits an improved capability of searching recursively for the optimal threshold level-set in the working subsets via the sparsity representation in segmentation. The experimental results show the reliability and efficiency of the proposed approach in real-time applications with an average rate of 0.932 in terms of similarity index for segmentation of cancer nuclei in brain tumor detection.

Some Recent Results in Quiescent Prominence Spectrometry

1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman
Keyword(s):  
Real Time ◽  
Computer System ◽  
Spectral Response ◽  
Absolute Intensity ◽  
Solar Observatory ◽  
Target Size ◽  
Small Target ◽  
Signal Averaging ◽  
Quiescent Prominence

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.

Video real-time imaging of artificial membranes during freeze-drying by cryo-electron microscopy

1988 ◽  
Vol 46 ◽  
pp. 16-17
Author(s):  
Alan S. Rudolph ◽  
Ronald R. Price
Keyword(s):  
Real Time ◽  
Self Assembly ◽  
Freeze Drying ◽  
Video Capture ◽  
Drying Process ◽  
Artificial Membranes ◽  
The Past ◽  
Cryo Electron Microscopy ◽  
Spherical Structures ◽  
Capture Techniques

We have employed cryoelectron microscopy to visualize events that occur during the freeze-drying of artificial membranes by employing real time video capture techniques. Artificial membranes or liposomes which are spherical structures within internal aqueous space are stabilized by water which provides the driving force for spontaneous self-assembly of these structures. Previous assays of damage to these structures which are induced by freeze drying reveal that the two principal deleterious events that occur are 1) fusion of liposomes and 2) leakage of contents trapped within the liposome [1]. In the past the only way to access these events was to examine the liposomes following the dehydration event. This technique allows the event to be monitored in real time as the liposomes destabilize and as water is sublimed at cryo temperatures in the vacuum of the microscope. The method by which liposomes are compromised by freeze-drying are largely unknown. This technique has shown that cryo-protectants such as glycerol and carbohydrates are able to maintain liposomal structure throughout the drying process.

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