Improved quality control of silicon wafers using novel off-line air pocket image analysis

2014 ◽  
Author(s):  
John F. Valley ◽  
M. Cristina Sanna
Keyword(s):  
Quality Control ◽  
Image Analysis ◽  
Silicon Wafers ◽  
Air Pocket

Interlaboratory-concordance of PD-L1 IHC for NSCLC.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20508-e20508
Author(s):  
Andreas H. Scheel ◽  
Gudrun Bänfer ◽  
Gustavo Bruno Baretton ◽  
Manfred Dietel ◽  
Rolf Diezko ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Quality Control ◽  
Image Analysis ◽  
Tissue Microarray ◽  
Carcinoma Cell ◽  
Staining Intensity ◽  
Round Robin Test ◽  
Assay Performance ◽  
Set Up ◽  
L1 Protein

e20508 Background: Immunohistochemistry (IHC) of the PD-L1 protein has become a mandatory diagnostic test for NSCLC. We conducted a two-step round robin test to analyze interobserver- and interlaboratory-concordance of PD-L1 IHC and to compare four clinical trial assays (CTAs; 28-8, 22C3, SP264, SP142) and laboratory-developed tests (LDTs). Results of step-one showed that reproducible PD-L1 IHC scoring is feasible; here we present the data on interlaboratory concordance Methods: Interlaboratory-concordance was tested by a centrally prepared tissue-microarray containing 21 NSCLC specimens that was stained at ten sites using CTAs and LDTs. Assay-performance was assessed with a second tissue-microarray containing eleven cell-lines with defined PD-L1 expression. Slides were evaluated by central quality-control and image-analysis. Results: The four CTAs yielded reproducible IHC-stainings at all sites while the results of the LDTs were mixed: Six protocols showed appropriate IHC quality with staining patterns similar to 22C3 and 28-8 CTAs, five protocols yielded less DAB-deposits and reduced staining intensity. Interlaboratory-concordance of carcinoma cell scoring using the 6-step system was moderate (κ = 0.43-0.69) while the included cut-offs ≥1% and ≥50% showed substantial concordance for the CTAs (κ = 0.73-0.89) and moderate concordance for the LDTs (κ = 0.50). No significant differences in interlaboratory-concordance were found among the CTAs. However, differences in the resulting staining patterns were noticed: While 22C3 and 28-8 showed similar staining patterns, SP263 showed minor differences in some cases and SP142 showed distinct patterns. Conclusions: The data show that the PD-L1 CTAs can be reproducibly employed and scored at different sites. LDTs with staining patterns similar to the CTAs are possible yet have to be carefully calibrated to match the appropriate intensity-range. The choice of assay and the set-up of the IHC-protocol may strongly influence the resulting staining.

An Improved Multivariate Image Analysis Method for Quality Control of Nanofiber Membranes

2011 ◽  
Vol 44 (1) ◽  
pp. 12066-12071
Author(s):  
Pierantonio Facco ◽  
Andrea Masiero ◽  
Fabrizio Bezzo ◽  
Alessandro Beghi ◽  
Massimiliano Barolo
Keyword(s):  
Quality Control ◽  
Image Analysis ◽  
Analysis Method ◽  
Image Analysis Method ◽  
Multivariate Image Analysis ◽  
Nanofiber Membranes ◽  
Multivariate Image

scholarly journals Pathology Quality Control for Multiplex Immunofluorescence and Image Analysis Assessment in Longitudinal Studies

2021 ◽  
Vol 8 ◽  
Author(s):  
Rossana Lazcano ◽  
Frank Rojas ◽  
Caddie Laberiano ◽  
Sharia Hernandez ◽  
Edwin Roger Parra
Keyword(s):  
Quality Control ◽  
Image Analysis ◽  
Inflammatory Cells ◽  
Analysis Data ◽  
Malignant Cells ◽  
Core Needle ◽  
Formalin Fixed Paraffin ◽  
Formalin Fixed Paraffin Embedded ◽  
Organ Site ◽  
Immune Profiling

Immune profiling of formalin-fixed, paraffin-embedded tissues using multiplex immunofluorescence (mIF) staining and image analysis methodology allows for the study of several biomarkers on a single slide. The pathology quality control (PQC) for tumor tissue immune profiling using digital image analysis of core needle biopsies is an important step in any laboratory to avoid wasting time and materials. Although there are currently no established inclusion and exclusion criteria for samples used in this type of assay, a PQC is necessary to achieve accurate and reproducible data. We retrospectively reviewed PQC data from hematoxylin and eosin (H&E) slides and from mIF image analysis samples obtained during 2019. We reviewed a total of 931 reports from core needle biopsy samples; 123 (13.21%) were excluded during the mIF PQC. The most common causes of exclusion were the absence of malignant cells or fewer than 100 malignant cells in the entire section (n = 42, 34.15%), tissue size smaller than 4 × 1 mm (n = 16, 13.01%), fibrotic tissue without inflammatory cells (n = 12, 9.76%), and necrotic tissue (n = 11, 8.94%). Baseline excluded samples had more fibrosis (90 vs 10%) and less necrosis (5 vs 90%) compared with post-treatment excluded samples. The most common excluded organ site of the biopsy was the liver (n = 19, 15.45%), followed by soft tissue (n = 17, 13.82%) and the abdominal region (n = 15, 12.20%). We showed that the PQC is an important step for image analysis and that the absence of malignant cells is the most limiting sample characteristic for mIF image analysis. We also discuss other challenges that pathologists need to consider to report reliable and reproducible image analysis data.

scholarly journals A cell-level quality control workflow for high-throughput image analysis

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Minhua Qiu ◽  
Bin Zhou ◽  
Frederick Lo ◽  
Steven Cook ◽  
Jason Chyba ◽  
...  
Keyword(s):  
Quality Control ◽  
Image Analysis ◽  
High Throughput ◽  
Cell Level ◽  
A Cell
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