DOCSLIB.ORG

Us 2017 / 0372471 A1

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Us 2017 / 0372471 A1 US 20170372471A1 ( 19) United States ( 12 ) Patent Application Publication (10 ) Pub. No. : US 2017 /0372471 A1 EURÈN (43 ) Pub . Date : Dec . 28 , 2017 ( 54 ) METHOD AND SYSTEM FOR DETECTING (52 ) U . S . CI. PATHOLOGICAL ANOMALIES IN A CPC .. .. .. G06T 7 /0012 (2013 . 01 ) ; G06K 9 /628 DIGITAL PATHOLOGY IMAGE AND ( 2013 .01 ) ; G06K 9 /6256 ( 2013 .01 ) ; G06T METHOD FOR ANNOTATING A TISSUE 2207 /20132 ( 2013 .01 ) ; G06K 2209 / 05 SLIDE ( 2013 .01 ) ; GO6T 2207 /30024 ( 2013 . 01 ) ; GO6T 2207 / 30096 ( 2013. 01 ) ; G06T 2200 / 24 ( 71 ) Applicant: ContextVision AB , LINKOPING (SE ) ( 2013 .01 ) (57 ) ABSTRACT ( 72 ) Inventor: Kristian EURÈN , VASTERAS (SE ) A method for annotating a tissue slide image , a system and a method performed by a computing system for detecting ( 73 ) Assignee : ContextVision AB , LINKOPING (SE ) pathological anomalies in a digital pathology image are disclosed . The method performed by a computing system for detecting pathological anomalies in a digital pathology (21 ) Appl . No .: 15 /195 ,526 image includes providing a digital pathology image to the computing system and analyzing the digital pathology ( 22 ) Filed : Jun . 28 , 2016 image using an identification module arranged on the com puting system . The identification module uses a machine learning module to execute recognizing an object containing Publication Classification an abnormal image pattern using an identification model (51 ) Int. CI. loaded in said identification module and identifying whether GOOT 7700 ( 2006 .01 ) the abnormal image pattern corresponds to a pathological G06K 9 /62 ( 2006 .01 ) anomaly using the identification model . wwwsnowowy Start 30 mm wwwwwwwww WWWWWProviding WWWWWWWWWWWWWWWWWWWWWWWW a user interface for inputting wwwww a digital pathology image and for outputting a display of detected pathological anomalies in the digital pathology 31 MWMWWWWWWWW imagenWWWWWwwwwwwwwww Providing an identification0911091101190 model using a machine learning algorithm trained on a plurality of annotated 32 digital pathology images Wwwwwwwwwwwwwwwwwwwwwwwwwwwwww UMUMM Providingi l WWWWWWWWWWWa digital pathology image 33 Analyzing the digital 11223 pathology image using the identification module which recognizes an 34 object containing an abnormal image pattern and identifies whether the abnormal image pattern corresponds to a l" ast pathological anomalyou UDWIKOVIWWIIIWV1IWILININIWINWWIIIIIIIIIII WHIKKWIKWIKWIKK Stop Patent Application Publication Dec . 28 , 2017 Sheet 1 of 7 US 2017 /0372471 A1 Fig.1 11 tittihatin pathologyimageusingan correspondstoa pathologicalanomaly.eu Start Providingadigital pathologyimage Analyzingthedigital identificationmodulewhich recognizesanobject containinganabnormal imagepatternand identifieswhetherthe abnormalimagepattern Stop WWWWWWWWWWWWWWWWWWWW IMWIMWWWWWWMWWW. MMMMMMMMMMMMMMMMMMMMMMM UmmmmmmmmMmd Hul WWWWWWWWWWWWWWWWWW WWWWWWWWWWINWINWINWINWINWINWINWINNINMI 10 Patent Application Publication Dec . 28 , 2017 Sheet 2 of 7 US 2017 /0372471 A1 Fig.2 |21 ATTI" itro H ww WWWWWWWWWWWWWWWWWWWWWWW/17 IKI patterncorrespondstoa pathologicalanomaly.com Wwwwhy, Providingadigital pathologyimage Analyzingthedigital pathologyimageusing whichrecognizesan objectcontainingan Stop Start Providinganidentification modelusingamachine learningalgorithmtrained onapluralityofannotated digitalpathologyimages theidentificationmodule abnormalimagepattern andidentifieswhether theabnormalimage WWWWWWWWWW wwww WwwwwwwW !! t WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW " AMMINIINIHINIHINHINNHHKHIINUMINUMINUMINUMIINU ANNUUSAASTALINIMAINANSINISILINISHINUVINIAYUMINHALAIMUHSIA 20mm Patent Application Publication Dec . 28 , 2017 Sheet 3 of 7 US 2017 /0372471 A1 Fig.3 31 32 33 34 77X 111111111 . WM WWW patterncorrespondstoa Providingauserinterfaceforinputtingdigital pathologyimageandforoutputtingadisplayof detectedpathologicalanomaliesinthedigitalpathology imagem Providingadigital pathologyimage Analyzingthedigital pathologyimageusing whichrecognizesan objectcontainingan Stop Start IIIIVOUW Providinganidentification modelusingamachine learningalgorithmtrained onapluralityofannotated digitalpathologyimagesWWWII abnormalimagepattern andidentifieswhether theabnormalimage pathologicalanomaly <IMA. wwwwwZIMININNI theidentificationmodule AWWWWWWWWWWW 211MM WWWWWWWWWWW MWWMWAMINIW4W MWWMWWW WWWWWWWWWWWWWWWWWWUWULUNA 3153553WWMWMwand wwwwwwwwWWWWWWWWWWWWWWWWWWWWWWWWWWWWWwwwwwww WWW WWWWWWWWWWWWWWWWWWWWWWWWWW wuwurl2/12error 30 Patent Application Publication Dec . 28 , 2017 Sheet 4 of 7 US 2017 /0372471 A1 42 it! Fig.4 41 43 44 46 47 IN W 2012 WISS histochemicaldyefromthe withslideatissueStainingthe wwwmmmmmm Annotatingtheatleastone StartStart Providingatissueslide WWWWWWWWWWWWWWWWWWWWWW Stainingthetissueslidewithatleastonebiomarkerand onefirsthistochemicaldyeoratleastbiomarkerand Generatingatleastone firstimageofthetissue slide firsttheRemoving tissueslide dyehistochemicalsecond Generatingatleastone secondimageofthetissueslidemmm secondimageofthetissue slideWWWWWWWWWW Stop MUUTUMN WWWWWWWWWWWWW onefluorescencedyeoratleastfluorescentbiomarker WAVUMI 176KW Www www WWWWWWWWWW WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWMA WWWWWWWWWWWWWWWWWWW wwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww WWWWWWWWWWWWWWWWWWWWWWWW WWWWWWWWWWWWWWWWWWWWWWWWWWWW . WOWOWOWwwwwwwwwwwww WWWWWWWWWWWWWWWWWWWWWWW WWWWWWWWWWWWWWWWWWWWWWWWW wwwwwwwwwwwwwwwwwwwwwwwwwww 40. WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW Patent Application Publication Dec . 28 , 2017 Sheet 5 of 7 US 2017 /0372471 A1 Fig.5 dlffiftititi dom FIFA112222 "SUNUMUWIMUNINNI CUIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIII Asojoyzedjer! imagereceiving ?????? Digitalpathologyimage analyzingmodule Identificationmodule Machinelearning module Recognizing module Identifying module model Classifier Determining module www IIIIIIIIIIII NITS WWWWWWWWWWWWWWW Identification WINNIHINHINHA H WWWMWWWWWWWWW WWWWWWwwwwwwwwwwww ovwWWWWWWWWWWWWWWWWWWWWWWWWWWWWW wwWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW ittitWwwwwww WWWWWWWWWWWWWWWWWWWWWWWWWWW EFERAT WWWWWWWWWWWWWWWWWWWWWWWWW WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW F IS ***** * WIwMTIwMTIWITIWWIIIIII .52 "521 5211“ 52111 52112 5212 52121 52122 50. Patent Application Publication Dec . 28 , 2017 Sheet 6 of 7 US 2017 /0372471 A1 tit a Identification modelproviding module HMMWWMWMTraining module WWWWWWWWWWWWWWWWWWWWA Fig.6 53 wwwmmwwwwwwwwwwwwETAT 531 I 512 Ni0111 ARTIR 111 D W10 NIKI * Digitalpathology imagereceiving module Digitalpathologyimage analyzingmodule wwwmmmWWW. model module 511 Identificationmodule Machinelearning module Recognizing module Identifying module Identification Classifierwwwwwwwwww Determining AITINIMWWWWWWWWWW W w WWWWWWWWWWWWWWWW FOLKKIKIRIKIMU VIIMKIIRWwWMWWWW WWWMMMMM 1811 JWOWWWWWWWWWWWWWWWWWW WIMININNIWINNINIWA VIVIUMENIWINIANVIVIUMWI WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW /11 51. MINNIRNIRIHIHNIINNIWIKWIKWITNIKHIKHIINIM fututett MINIMUMUIKUINIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIKUN 1143381111 52. 521N 5211" 52111 52112 5212 52121 52122 50m Patent Application Publication Dec . 28 , 2017 Sheet 7 of 7 US 2017 /0372471 A1 531 TEETH Identification modelproviding module Training module Fig.7 53 WWWWWWWWWWWWWWWWWWWW Att"WWWWWWWWWWWWWWWWWWWWWW hittintit1113 withthe !LIGI " hile w Digitalpathology imagereceiving module Digitalpathologyimage analyzingmodule model WWWUWMMMMMMMMMMMMMMMMMMHHH! 511 Identificationmodule Machinelearning module nowwwwwwwwwwwwwwww Recognizing module Identifying module Identification Classifier Determining module Umum WWWWWWNININWIININIWWWNINIWIN "1111rttiVIINNITUWINUIKINININ ! UMUMMMMMWAUMUHIMU AMMINIWINNIN WWWWWWWWWWWWWWWWWWWWWWWWW stilitWWWWWWWWWWWWwwwwwww WWWWWWNINWWWWWWWWWWWWWWWWWWWWWWWWWW UMWWWWWWWWWWWWWWWWWW WWWWWWWWWWWWWWWWWWWW WINIWWWWWWWWWWWWWWWWWWWWWW WWWWWWWWWWWWWWWWWW 51. WWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWWW INHIMMINIMIINIMUMIIHIIIIIIIIIIIIIIIIIIIII sama PAKOWWWWWWWWWWWWWWWWWWWUWW 52 5211" 5212" 514.wrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrrr 521N 52111 52112 52121 52122 513 154 uttfilm 50cm Input module 5411 User interface 542 Output module WWWWWWWWWWWWWWWW THWOWWWWWWWWWWWWWWW JAUNIIKIINNIKIWA US 2017 /0372471 A1 Dec . 28 , 2017 METHOD AND SYSTEM FOR DETECTING arranged on the computing system . The identification mod PATHOLOGICAL ANOMALIES IN A ule uses a machine learning module to execute recognizing DIGITAL PATHOLOGY IMAGE AND of an object containing an abnormal image pattern using an METHOD FOR ANNOTATING A TISSUE identification model loaded in said identification module and SLIDE identifying whether the abnormal image pattern corresponds to a pathological anomaly using the identification model . TECHNICAL FIELD Thereby, it is possible to automatically detect pathological [ 0001] The present invention relates to a method per anomalies in a digital pathology image . formed by a computing system for detecting pathological 10008 ] According to a further aspect of the invention , anomalies in a digital pathology image and a system for identifying whether the abnormal image pattern corresponds detecting pathological anomalies in a digital pathology to a pathological anomaly comprises classifying the abnor image . The present invention also relates to a method for mal image pattern using a classifier in the identification model to classify the abnormal image pattern in accordance annotating a tissue slide image . with at least two classes and determining whether the BACKGROUND OF THE INVENTION abnormal image pattern corresponds to a pathological anomaly based on the classification . [ 0002] A common method to detect pathological anoma 10009 ] According to another aspect of the
Load more

Recommended publications
  • Origin of Life Characteristics of Life Lab Wax Paper Toothpicks Hand
    Unit 1: Origin of Life Characteristics of Life Lab Wax paper Toothpicks Hand lens Sugar Warm Water Plastic bottles Balloons (15 inch) Measuring spoons Measuring cups Plastic funnels Glucose strips Watches or timers Yeast Food coloring Unit 2: Large Biological Molecules Organic Compounds Lab Unlabeled sucrose, lactose or glucose Water Hot plate Vegetable oil Butter or margarine Iodine (IKI) Sudan stain Biuret reagent Assortment of foods containing starch, sugar and/or lipids Unit 3: Membranes & Enzymes Diffusion Lab Clear cups Plastic funnels Dialysis tubing 15% glucose/1% starch solution Medicine cups or small beakers Plastic pipets Glucose strips String Distilled water Starch indicator (IKI) Osmosis Lab Clear cups Dialysis tubing Medicine cup or small beaker String Distilled water 0.2 M sucrose solution 0.4 M sucrose solution 0.6 M sucrose solution 0.8 M sucrose solution 1.0 M sucrose solution Marking pencils Labeling tape Calculators Paper towels Balances Unit 4: Genes DNA Extraction Lab Plastic cups Sports drink, such as gatorade 15 ml test tube 3 ml graduated plastic pipets Microcentrifuge tubes String Liquid soap 70% ethanol Bucket of ice or freezer Scissors Marking pencil or labels Test tube racks Unit 5: Energy Processing Cellular Respiration Lab Plastic cups At least 2 carbohydrates, such as sucrose, glucose, lactose and/or starch Balloons Yeast Hot plates Balances Beakers Water Thermometers String Rulers Photosynthesis Lab pH paper 50 ml test tubes Elodea 250 ml graduated cylinders Sodium bicarbonate (baking soda) Balances Plastic funnels Distilled water Light source Beakers Stopwatches Test tube racks Weighing dishes or weigh paper Unit 6: Prokaryotes & Viruses Gram Stain Lab Microscopes Microscope slides and cover slips Marking pencils Inoculation loops Bunsen burners Bacterial colonies Agar plates Small washbasins or bowls Crystal violet stain Gram’s iodine Safranin stain Alcohol decolorizing agent Blotting paper Unit 7: Eukaryotes & Gene Expression Animal vs.
    [Show full text]
  • STAINING TECHNIQUES — Staining Is an Auxiliary Technique Used in Microscopy to Enhance Contrast in the Microscopic Image
    STAINING TECHNIQUES Staining is an auxiliary technique used in microscopy to enhance contrast in the microscopic image. Stains or dyes are used in biology and medicine to highlight structures in biological tissues for viewing with microscope. Cell staining is a technique that can be used to better visualize cells and cell components under a microscope. Using different stains, it is possible to stain preferentially certain cell components, such as a nucleus or a cell wall, or the entire cell. Most stains can be used on fixed, or non-living cells, while only some can be used on living cells; some stains can be used on either living or non-living cells. In biochemistry, staining involves adding a class specific (DNA, lipids, proteins or carbohydrates) dye to a substrate to qualify or quantify the presence of a specific compound. Staining and fluorescence tagging can serve similar purposes Purposes of Staining The most basic reason that cells are stained is to enhance visualization of the cell or certain cellular components under a microscope. Cells may also be stained to highlight metabolic processes or to differentiate between live and dead cells in a sample. Cells may also be enumerated by staining cells to determine biomass in an environment of interest. Stains may be used to define and examine bulk tissues (e.g. muscle fibers or connective tissues), cell populations (different blood cells) or organelles within individual cells. Biological staining is also used to mark cells in flow cytometry, flag proteins or nucleic acids on gel electrophoresis Staining is not limited to biological materials, it can also be used to study the morphology (form) of other materials e.g.
    [Show full text]
  • Snomed Ct Dicom Subset of January 2017 Release of Snomed Ct International Edition
    SNOMED CT DICOM SUBSET OF JANUARY 2017 RELEASE OF SNOMED CT INTERNATIONAL EDITION EXHIBIT A: SNOMED CT DICOM SUBSET VERSION 1.
    [Show full text]
  • Microtechnique I Presented by Dr: Safia Mohammed Hassan What Is Cellular Staining?
    Microtechnique I Presented by Dr: Safia Mohammed Hassan What is Cellular Staining? Cell staining is a technique that can be used to better • visualize cells and cell components under a microscope, one can preferentially stain certain cell components, such as a nucleus or a cell wall, or the entire cell. Most stains can be used on fixed, or non- living cells, while only some can be used on living cells; some stains can be used on either living or non- living cells. Why Stain Cells Biological tissue has very little variation in colures/shades when viewed using either an ordinary light (optical) microscope or an electron microscope. So staining biological tissues is done to both: increase the contrast of the tissue also highlight some specific features of interest Depending on the type of tissue and the stain used Dye Structure and Colour The components involved in histological staining are dyes and proteins. * The fundamental process involved is the chemical bonding between the carboxyl groups of one and the amino groups of the other. * The commonest bonds involved are ionic bonds, although there are exceptions especially in the case of nuclear staining of DNA. & The use of colour to identify individual components of tissue sections. Why dyes are coloured Colour in dyes is invariably explained as a • consequence of the presence of aChromophore. Since, by definition, dyes are aromatic compounds their structure includes aryl rings which have delocalised electron systems. These are responsible for the absorption of electromagnetic radiation of varying wavelengths, depending on the energy of the electron clouds. An aryl group is a functional group derived from a simple aromatic ring compound where one hydrogen atom is removed from the ring –C=C– –C=N– –C=O– –N=N– –NO2 Quinoid rings Auxochrome; Auxochromes are groups which attach to non • ionising compounds yet retain their ability to ionise –NH3 –COOH –HSO3 –OH While this definition is largely correct, • it is also inadequate.
    [Show full text]
  • Special Stains Iron/Hemosiderin Prussian Blue
    Special stains Iron/Hemosiderin Prussian blue Lipids Sudan stain (Sudan II, Sudan III, Sudan IV, Oil Red O, Sudan Black B) Carbohydrates Periodic acid-Schiff stain Amyloid Congo red Gram staining (Methyl violet/Gentian violet, Safranin) · Ziehl-Neelsen Bacteria stain/acid-fast (Carbol fuchsin/Fuchsine, Methylene blue) · Auramine- rhodamine stain (Auramine O, Rhodamine B) trichrome stain: Masson's trichrome stain/Lillie's trichrome (Light Green SF yellowish, Biebrich scarlet, Phosphomolybdic acid, Fast Green Connective tissue FCF) Van Gieson's stain H&E stain (Haematoxylin, Eosin Y) · Silver stain (Gömöri methenamine Other silver stain, Warthin–Starry stain) · Methyl blue · Wright's stain · Giemsa stain · Gömöri trichrome stain · Neutral red · Janus Green B Hematoxylin + Eosin (H & E ) הצביעה השגרתית המבוצעת בחתכי רקמה המטוקסילין – צבע בסיסי המתחבר לחומצות הגרעין אאוזין – צבע חומצי המתחבר לקצה הבסיסי של החלבונים בציטופלסמה Pas stain Demonstrate : • Glycogen • Basement membranes • Neutral mucosubstance The GMS Staining Kit is used to demonstrate polysaccharides in the cell walls of fungi and other organisms. This stain is primarily used to distinguish pathogenic fungi such as Aspergillus and Blastomyces and other opportunistic organisms such as Pneumocystis carinii Giemsa Stain The Giemsa is used to differentiate leukocytes in bone marrow and other hematopoietic tissue (lymph nodes) as well as some microorganisms (Helicobacter pylori). The Elastic Staining Kit is used to demonstrate elastic fibers in tissue sections The Mucicarmine Staining
    [Show full text]
  • Histochemical Reactions in Vertebrate Testes Larry Fred Cavazos Iowa State College
    Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1954 Histochemical reactions in vertebrate testes Larry Fred Cavazos Iowa State College Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Animal Sciences Commons, Physiology Commons, and the Veterinary Physiology Commons Recommended Citation Cavazos, Larry Fred, "Histochemical reactions in vertebrate testes " (1954). Retrospective Theses and Dissertations. 13607. https://lib.dr.iastate.edu/rtd/13607 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from left to right in equal sections with small overiaps.
    [Show full text]
  • Goolsby, Charles M.; Obasun, Dan A
    DOCUMENT RESUME ED 114 296 95 SE 019 977 AUTHOR Goolsby, Charles M.; Obasun, Dan A. TITLE Teacher's Guide to Laboratory Activities'for Biology. INSTITUTION Institute for Services to Education, Inc., Washington, D.C. SPONS AGENCY National Inst. of Education (DREW), Washington, D.C.; National Science Foundatimi, Washington, 'D.C.`; Office of Education (DHEW), Washington, D.C. Bureau of Research. BUREAU NO BR-7-0867 PUB DATE CONTRACT 0EC-0-8-070867-0001 NOTE 165p.; Appendix material frOm FD 084 936. Related documents are SE 019 (475 and 976 FDPS PRICE MF-$0.76 HC-$8.24 Plus Postage DESCRIPTORS *Biology; *College, Science; Higher Education; Instructional Materials; Laboratory Experiments; *Laboratory Manuals; *SCience Activities';'Science Education; *Teaching Guides; UndergtaduateStudy IDENTIFIERS National Science Foundation; *Thirteen College. Curriculum Program ABST ?ACT This guide is prepared for teachers who have students using the laboratory manual, "Laboratory Activities for Biology:" The publication cbntains some introductory remarks for teachers, lists of materials and equipment, methods of making solutions and other preparations, suggestions for introductory discussions with the class, and procedures for doing the various exercises. The second section of this work is devoted to a guide to the individual student experiments. (Author/CP) .1 *********************************************************************** Documents acquired by ERIC include many informal unpublished * materials not available from other sources. ERIC makes every effort * * to obtain +he best copy available. Nevertheless, items of marginal * * reproducibility are often encountered and this affects the quality * * of the microfiche and hardcopy reproductions ERIC makes available * * via the EPIC Document Reproduction Service (ED?S). EDRS is not * responsible for the quality of the original document.
    [Show full text]
  • Findings from a Hedgehog Paola Cazzini1
    Findings from a Hedgehog Paola Cazzini1 Contributors: Sheryl Coutermarsh-Ott1, Laila Proença2, Stephen Divers2, Uriel Blas-Machado1-3, Bridget Garner1 1. Department of Pathology, College of Veterinary Medicine, University of Georgia, Athens, GA, United States; 2. Department of Small Animal Medicine and Surgery, College of Veterinary Medicine, University of Georgia, Athens, GA, United States; 3. Georgia Laboratory Animal Diagnostic Services, Athens Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Georgia, Athens, GA, United States; SIGNALMENT: 3-year-old African pigmy hedgehog HISTORY AND CLINICAL FINDINGS: History of anorexia, weakness, weight loss, behavioral change, ataxia, and cervical and abdominal masses. Skin mites were observed. LABORATORY DATA: Table 1 CBC 3/8 Pre-treatment 3/12 Post-treatment Reference interval* Units Hct 36.7 31.9 36 +/- 7 (22-64) % Hgb 13.7 11.1 12 +/- 2.8 (7-21.1) g/dl Rbc 4.3 3.67 6+/- 2 (3-16) x106/µl MCV 85.3 87 67 +/- 9 (41-94) fl MCHC 37.3 34.9 34 +/- 5 (17-48) g/dl Ptl 137 142 226 +/- 108 (60-347) x103/µl MPV 11.6 10 n/a fl WBC 85.4 2.0 11 +/- 6 (3-43) x103/µl Seg (30%) 25.6 (11%) 0.220 5.1 +/- 5.2 (0.6-37.4) x103/µl Band (9%) 7.7 (0%) 0 n/a x103/µl Lymph (3%) 2.6 (32%) 0.6 4 +/- 2.2 (0.9-13.1) x103/µl Mono (0%) 0 (6%) 0.1 0.3 +/- 0.3 (0-1.6) x103/µl Eos (9%) 7.7 (17%) 0.3 1.2 +/- 0.9 (0-5.1) x103/µl Baso (3%) 2.562 (2%) 0.04 0.4 +/- 0.3 (0-1.5) x103/µl Others (46%) 39.284 (32%) 0.6 0 x103/µl nRBC 2 3 n/a /100 WBC * Reference intervals are from “Exotic animal formulary”, by Carpenter J.W., Elsevier 4th ed.
    [Show full text]
  • The Importance of Stool Tests in Diagnosis and Follow-Up of Gastrointestinal Disorders in Children
    Review / Derleme The importance of stool tests in diagnosis and follow-up of gastrointestinal disorders in children Çocuklarda sindirim sistemi hastalıklarının tanı ve izleminde dışkı incelemelerinin yeri Erhun Kasırga Division of Pediatric Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Celal Bayar University Faculty of Medicine, Manisa, Turkey Cite this article as: Kasırga E. The importance of stool tests in diagnosis and follow-up of gastrointestinal disorders in children. Turk Pediatri Ars 2019; 54(3): 141–8. Abstract Öz Stool is not just a simple waste material. Some stool tests can be Dışkı yalnızca basit bir atık değildir. Bazı dışkı testleri sindirim sistemi easily used in primary care in the differential diagnosis of disorders enfeksiyonları, malabsorpsiyon sendromları ve inflamatuvar bağırsak such as gastrointestinal infections, malabsorption syndromes, and hastalıkları gibi hastalıkların ayırıcı tanısında birinci basamak sağlık inflammatory bowel diseases. Stool tests can prevent unnecessary hizmetlerinde kolaylıkla kullanılabilir. Dışkı testleri sayesinde gerek- laboratory investigations. Stool analyses include microscopic ex- siz laboratuvar incelemeleri önlenebilir. Dışkı incelemeleri arasında amination, chemical, immunologic, and microbiologic tests. Stool mikroskobik inceleme, kimyasal, immünolojik ve mikrobiyolojik test- samples can be examined for leukocytes, occult blood, fat, sugars ler vardır. Dışkı örneği; lökosit, gizli kan, yağ, indirgeyici maddeler (reducing substances), pH, pancreatic enzymes, alpha-1 antitrypsin, olarak adlandırılan şekerler, pH, pankreas enzimleri, alfa-1 antitripsin, calprotectin, and infectious causes (bacteria, viruses, and parasites). kalprotektin ve enfeksiyöz nedenler (bakteri, virüs ve parazitler) açı- Stool should also be macroscopically checked in terms of color, con- sından incelenebilir. Dışkı renk, kıvam, miktar, şekil, koku ve mukus sistency, quantity, shape, odor, and mucus. varlığı açısından da makroskobik olarak kontrol edilmelidir.
    [Show full text]
  • Oil Red O Staining Protocol Paraffin
    Oil Red O Staining Protocol Paraffin Is Taddeo always imbibitional and divisionary when deceive some ascidians very virtually and antisocially? operatingBefuddled Teador or muscular, bathing Moises quite humblynever shop but bottlenecksany katakana! her Combining divings gloriously. Maynard still routinizes: hulky and Intended for paraffin and oil red o staining protocol paraffin sections prepared by oil red. Duke university health and oil red o staining protocol paraffin. FFPE sections of truth human condition were dewaxed, rehydrated and concept to antigen retrieval. Clipboard, Search easily, and supply other advanced features are temporarily unavailable. Oil Red O Staining Solution. It overall the combination of wish these factors that leads to the improvement in consistent quality described here. Also, useful plasma stain. Why do I explode a TMA? Observations on site you refer your free cholesterol levels and oil red o staining protocol paraffin sections to consider multiple rinses and interpreting pathologist to be sure not limited samples and tissue samples, uams center for? Movat stain is could when studying the reserve, blood vessels, and connective tissues. PRINCIPLE Staining with oil-soluble dyes is based on the greater solubility of large dye. Staining Fresh, Unfixed, Unembedded and Undercalcified Bone Sections. However, the cellular origin in adult cardiac fat wife is unknown. Browsers that do my support TLS may make be accessible. Improving the Method for the Demonstration of Adenosine Triphosphatase. Oil red magenta color imparted to reddish purple due to the flavonoid quercetin, like confocal microscopy including immersion fixation step sections for individual users in the. FC levels, and increased the collagen fibers in atherosclerotic plaques.
    [Show full text]
  • S. S. College, Jehanabad Department: Zoology Class: M.Sc
    S. S. College, Jehanabad Department: Zoology Class: M.Sc. Semester II Subject: Zoology Topic: Principles and Methods of Staining Mode of teaching: Google classroom & WhatsApp Date & Time: 22.07.2020 & 10:30 Teacher: Praveen Deepak To join Department’s group, students can use following link https://chat.whatsapp.com/EHuHNfQzoAzJBMFNJvsjQx or scan QR Code WhatsApp No.: +91 75360 68068 PRINCIPLE AND METHODS OF STAINING ____________________________________________________________ Staining of histological slides is an important technique that is used for the visualization of biological structures. As such, it is concerned with the identification and distribution of various chemical components of tissues through the use of stains, indicators as well as microscopy. Without the proper use of histochemistry techniques, it is hard and even, somewhere almost impossible to study structural details of cells, localization of subcellular structures and localization of different subcellular granules under microscope. Only fixation of tissue specimen is not enough to visualize the structure and chemical characteristics of that tissue specimen, the process only fixes the tissue in their almost natural state with least deterioration. Normal, tissue section is colourless as the fixed protein has the same refractive index as that of glass. Dyes are used to impart colour to the different components of the tissue for the interpretation. A chromogenic dye absorbs the light of particular wavelength of the white light representing a specific colour and emits the light containing the rest of the colour. Therefore we see a coloured light from the dye that helps in imparting contrast to the substance which is a subject of study from their background.
    [Show full text]
  • Roles of Thrombus and Collagen Remodeling in Intramural Healing of Dissecting Aortic Aneurysms
    Biomechanical Characterization of the Atherosclerotic Burden in Genetically Modified Mice with a special focus on the Roles of Thrombus and Collagen Remodeling in Intramural Healing of Dissecting Aortic Aneurysms A FINAL REPORT TO THE AUSTRIAN MARSHALL PLAN FOUNDATION by D.I. ANDREAS JÖRG SCHRIEFL for receiving funding for a Visiting Assistant in Research position from June – September 2011 at the Biomedical Engineering Faculty at the Yale School of Engineering & Applied Science Graz, Austria, November 2011 TABLE OF CONTENTS PREFACE ............................................................................................................. 3 ACKNOWLEDGEMENTS ......................................................................................... 4 PAPER TITLE PAGE ............................................................................................... 6 ABSTRACT ........................................................................................................... 7 INTRODUCTION ................................................................................................... 8 METHODS .......................................................................................................... 10 RESULTS ........................................................................................................... 13 DISCUSSION ...................................................................................................... 19 REFERENCES ....................................................................................................
    [Show full text]