Ex Parte Nagai et alDownload PDFPatent Trial and Appeal BoardMar 30, 201612408149 (P.T.A.B. Mar. 30, 2016) Copy Citation UNITED STA TES p A TENT AND TRADEMARK OFFICE APPLICATION NO. FILING DATE 12/408,149 757 7590 BGL P.O. BOX 10395 CHICAGO, IL 60610 0312012009 03/30/2016 FIRST NAMED INVENTOR Takaaki Nagai UNITED STATES DEPARTMENT OF COMMERCE United States Patent and Trademark Office Address: COMMISSIONER FOR PATENTS P.O. Box 1450 Alexandria, Virginia 22313-1450 www .uspto.gov ATTORNEY DOCKET NO. CONFIRMATION NO. 11333/272 8697 EXAMINER NEGIN, RUSSELL SCOTT ART UNIT PAPER NUMBER 1631 MAILDATE DELIVERY MODE 03/30/2016 PAPER Please find below and/or attached an Office communication concerning this application or proceeding. The time period for reply, if any, is set in the attached communication. PTOL-90A (Rev. 04/07) UNITED STATES PATENT AND TRADEMARK OFFICE BEFORE THE PATENT TRIAL AND APPEAL BOARD Ex parte TAKAAKI NAGAI, YUTAKA IKEDA, and NORIYUKI NARISADA Appeal 2013-003628 Application 12/408,149 Technology Center 1600 Before ERIC B. GRIMES, ULRIKE W. JENKS, and ROBERT A. POLLOCK, Administrative Patent Judges. PERCURIAM DECISION ON APPEAL This is a decision on appeal1under35 U.S.C. § 134 from the Examiner's rejection of claims 1, 5, 6, 8-12, 15-17, 19, 21, and22. We have jurisdiction under 35 U.S.C. § 6(b). We affirm-in-part. STATEMENT OF THE CASE The Specification discloses "a biological sample analyzer and computer program product for analyzing biological samples such as blood" (Spec. 1, ,-i 2). The Specification also discloses that "the blood cells 1 Appellants identify the Real Party in Interest as Sysmex Corporation (App. Br. 2). Appeal2013-003628 Application 12/408,149 contained in child blood have lower stainability than blood cell[ s] contained in adult blood" (id. at 10, iJ 47). Thus, the values obtained for a given type of blood cell from a sample of child blood will differ from the same type of cell from a sample of adult blood, and the sampling values must be shifted in order to improve the accuracy of the blood cell classification process (id. at 11, iii! 48--49). Claims 1 and 10 are representative of the claims on appeal and read as follows (emphasis added): 1. A blood sample analyzer, comprising: a characteristic information obtainer for obtaining characteristic information representing a characteristic of a blood cell contained in a blood sample of a patient, wherein the characteristic obtainer comprises a sample preparing section for preparing a measurement sample from the blood sample and a staining solution, and a light detecting section for irradiating the measurement sample with light and detecting at least fluorescent light emitted from blood cells contained in the measurement sample; a processor; and a memory storing software instructions adapted to enable the processor to perform operations comprising: (a) determining whether the patient is an adult or a child; (b) analyzing, when the patient is determined to be an adult, the characteristic information based on a first condition for analyzing a blood sample of the adult, wherein the analyzing in operation (b) comprises: generatingfirst classification data suited for classifying blood cells in the blood sample of the adult from the characteristic information obtained by the characteristics information obtainer; and classifying the blood cells in the blood sample into a plurality of types based on a predetermined classification condition and the first classification data; and ( c) analyzing, when the patient is determined to be a child, the characteristic information based on a second condition for analyzing a blood sample of the child, wherein the analyzing in operation ( c) comprises: 2 Appeal2013-003628 Application 12/408,149 generating second classification data suited for classifying the blood cells in the blood sample of the child from the characteristic information obtained by the characteristics information obtainer; and classifying the blood cells in the blood sample into a plurality of types based on the predetermined classification condition and the second classification data. 10. A blood sample analyzer, comprising: a characteristic information obtainer which obtains characteristic information representing a characteristic of a blood cell contained in a blood sample of a patient based on a first obtaining condition suited for a blood sample of an adult, and obtains characteristic information representing the characteristic of the blood cell contained in the blood sample of the patient based on a second obtaining condition suited for a blood sample of a child; and a processing section for executing an operation to analyze the characteristic information obtained by the characteristic information obtainer, wherein the characteristic information obtainer comprises: a sample preparing section for preparing a measurement sample from the blood sample and a staining solution; a fluorescent iight detecting section for irradiating the measurement sample with light and detecting fluorescent light emitted from the measurement sample; and a controller for determining whether the patient is an adult or a child, and for controlling the fluorescent light detecting section so as to detect the fluorescent light at a detection sensitivity suited for a blood sample of an adult when the patient has been determined to be an adult, and detect the fluorescent light at a detection sensitivity suited for a blood sample of a child when the patient has been determined to be a child. The other independent claims are claims 17, 19, and 22. Claim 17 is similar to claim 1 but is directed to a computer program product for carrying out the analysis recited in claim 1. Claims 19 and 22, like claim 10, require controlling the detection sensitivity of a fluorescent light detector based on whether the sample is from an adult or a child. 3 Appeal2013-003628 Application 12/408,149 Issue The Examiner has rejected claims 1, 5, 6, 8, 10-12, 15-17, 19, 21, and 22 under 35 U.S.C. § 103(a) as obvious in view of Oosterwijk,2 Ravkin,3 Torre-Bueno,4 and Osugi5 (Ans. 3-7). The Examiner has also rejected claim 9 under 35 U.S.C. § 103(a) as obvious in view of Oosterwijk, Ravkin, Torre- Bueno, Osugi, and Herzenberg6 (Ans. 7-8). Appellants have waived arguments directed to claim 9, so we will consider these rejections together. The issues presented are: Has the Examiner established by a preponderance of the evidence that Oosterwijk, Ravkin, Torre-Bueno, and Osugi would have made obvious (i) a blood analyzer that comprises a memory comprising instructions to determine whether a patient is a child or an adult, and to classify blood cells into plural types based on either first or second classification data for adult or child blood samples, respectively, as recited in claim 1 ; or 2 Oosterwijk et al., Strategies for Rare-Event Detection: An Approach for Automated Fetal Cell Detection in Maternal Blood, 63 American Journal of Human Genetics 1783-1792 (1998). 3 Ravkin et al., Automated Microscopy System for Detection and Genetic Characterization of Fetal Nucleated Red Blood Cells on Slides, 3260 SPIE 180-191 (1998). 4 Torre-Bueno, US 2004/0009098 Al, January 15, 2004. 5 Osugi et al., Age-related Changes in Surface Antigens on Peripheral Lymphocytes of Healthy Children, 100 Clinical and Experimental Immunology 543-548 (1995). 6 Herzenberg et al., Fetal cells in the blood of pregnant women: Detection and enrichment by fluorescence-activated cell sorting, 76 Proc. Natl. Acad. Sci. USA 1453-1455 (1979). 4 Appeal2013-003628 Application 12/408,149 (ii) a blood analyzer comprising a controller for controlling fluorescent light detection sensitivity based on whether the patient is an adult or a child, as recited in claim 1 O? Findings of Fact 1. The Examiner finds that Oosterwijk discloses "an automated microscopy and image analysis system comprising a computer, a memory with instructions (algorithm) and [a] microscope (an information obtainer)" (Ans. 3 (citing Oosterwijk 1785, col. 1 )). "[T]he algorithm executes steps in which the characteristic information or image is analyzed based on a first condition and second condition; i.e. the absence or presence of fetal hemoglobin" (id. at 3 (citing Oosterwijk 1785, col. 1 )). "Oosterwijk et al. teaches differentiating (classifying) between maternal and fetal cells based on markers in the blood" (id. at 4 (citing Oosterwijk 1784, col. 1 )). 2. Oosterwijk discloses "the use of automated microscopy and image analysis to detect the presence of rare fetal nucleated red blood cells (NRBCs) circulating in maternal blood ... by immunocytochemical staining for fetal hemoglobin (HbF)" (Oosterwijk 1783, Abstract). 3. Oosterwijk discloses that "[s]taining for HbF was performed ... by a Cadenza automated immunostainer" (Oosterwijk 1785). 4. The Examiner finds that "Ravkin ... illustrates recognition of (i.e. classifying) fetal blood cells into a plurality of types based on the predetermined classification conditions" (id. (citing Ravkin 184, Fig. 4)). 5. Ravkin discloses that the "Applied Imaging has developed ... a system for semiautomatic detection of fetal nucleated red blood cells" (Ravkin 180, Abstract). 5 Appeal2013-003628 Application 12/408,149 6. The Examiner finds that Oosterwijk and Ravkin "do not teach determining whether the patient is an adult or a child" (Ans. 5). 7. The Examiner finds that Torre-Bueno discloses "an automated microscopy system with an auto-staining function ... [which] identifies a staining characteristic of the biological sample and dispenses a reagent on to the region to be stained based upon the staining characteristic" (Ans. 5 (citing Torre Bueno iJ 7)). "Torre-Bueno shows [a] sample preparation section ... [and] a fluorescent light section" (id. (citing Torre-Bueno, Fig. 2)). "Torre-Bueno suggests [that] the system can identify rare cells ... [and] shows [that] different cells can be stained with distinct stains" (id. (citing Torre-Bueno iJ 90)). "[T]he system includes a controller that determines which patient the sample is from and makes a determination how the sample should be treated/stained, which parameters to measure and how to measure those parameters by looking up the information in pre-created database" (id. (citing Torre-Bueno iii! 43, 97, and 122)). 8. Torre-Bueno discloses a "method for automated staining of a biological sample on a substrate" (Torre-Bueno, iJ 7). "[T]he method further comprises identifying a staining characteristic of the biological sample and dispensing the reagent on to the region to be stained based upon the staining characteristic" (id.). 9. Torre-Bueno discloses that a "camera can be used to read a bar code, or other identifier, on a slide or slide rack ... [to] identify what stain should be used on the slide, or it could be a unique code used to look up the desired stain in a pre-created database" (Torre-Bueno, iJ 43). 6 Appeal2013-003628 Application 12/408,149 10. Torre-Bueno discloses an apparatus for "the automatic scanning of prepared microscope slides for the detection of candidate objects of interest such as normal and abnormal cells, e.g., tumor cells" (Torre-Bueno, ii 90). 11. Torre-Bueno discloses that the imaging apparatus detects "the fluorescence or luminescence of the molecule when exposed to a wavelength that excites a fluorescent indicator attached to the fluorescent agent or exposed to conditions that allow for luminescence" (Torre-Bueno, ii 97). 12. The Examiner finds that Oosterwijk, Ravkin, and Torre-Bueno "do not teach determining whether the patient i[ s] an adult or a child" (Ans. 6). 13. The Examiner finds that Osugi discloses that "human blood undergoes age related changes ... [and discloses] that the surface antigens on peripheral lymphocytes in children change as they mature" (Ans. 6 (citing Osugi, Abstract)). 14. Osugi states that "age-related changes in proportion of various subsets within lymphocytes were investigated in cord blood and peripheral blood from healthy children and adults" (Osugi 543, Abstract). 15. Osugi states that there are "significant age-related changes in the proportions of CD45RA + and CD45Ro+ T cells, S6F 1 +cng+ T cells, yo T cells, CDS+ B cells and NK cells" (Osugi 547). "When evaluating the immune status of children, consideration of age-related changes is essential" (id.). 16. The Examiner concludes that it would have been obvious to one of ordinary skill in the art to: 7 Appeal2013-003628 Application 12/408,149 (i) modify Oosterwijk's system "with the distribution and classification plot of Ravkin et al. for classifying cells because Ravkin et al. shows the plot aids the review, classification, and analysis processes" (Ans. 6 (citing Ravkin, Fig. 4)); (ii) modify the system of Oosterwijk and Ravkin "with the auto- stainer of Torre-Bueno because Torre-Bueno shows auto-stainers provide the advantages of introducing cost savings, uniform slide preparation, and reduction in errors" (id. (citing Torre-Bueno, iJ 6)), and (iii) modify the system of Oosterwijk, Ravkin, and Torre-Bueno by distinguishing blood samples of "adults versus children as suggested by Osugi ... [because] "differentiating adult versus child blood samples ... leads to an understanding of how the immune system changes in a body as a function of age" (id. at 6-7 (citing Osugi, 543) ). Analysis With regard to claims 1 and 17, we agree with the findings and conclusions set out in the Final Rejection and in the Answer. We address below Appellants' arguments regarding these claims. Appellants argue that the cited references "fail to disclose the claimed determination of an adult/child patient and its effect on the claimed blood analysis" (Appeal Br. 6). Appellants argue that claims 1 and 17 recite using the determination of whether the patient is an adult or a child "for generating different classification data suited for classifying blood cells in the blood sample," but these "elements are not addressed by the Final Office Action or the Advisory Action" (id. at 7). Appellants argue that although Osugi discloses that "certain cells changed with age ... [this] is not a disclosure of 8 Appeal2013-003628 Application 12/408,149 the claimed adult/child determination and resulting classification data generation .... [T]he claims recite a different analysis of characteristic information depending on whether the sample is from an adult or a child" (id. at 8). Appellants' arguments are not persuasive. Claims 1 and 1 7 require instructions that allow a processor to determine whether a patient is a child or adult. No specific criteria for the determination are recited, and therefore this step encompasses, for example, determining that the patient is a child or adult based on an input (such as a bar code) that indicates the age of the patient. Osugi discloses a study of lymphocytes in children and adults (FF 14 ). Osugi discloses that, due to age-related changes in the proportions of lymphocyte subsets, age must be taken into consideration in evaluating the immune status of patients (FF 15). In view of this disclosure in Osugi, we agree with the Examiner that it would have been obvious to one of ordinary skill in the art to configure a blood sample analyzer suggested by the combination of Oosterwijk, Rav kin, and Torre-Bueno to comprise a memory and processor adapted to determine whether a patient is an adult or a child (based, e.g., on age) and then generate classification data based on whether the patient is an adult or child, and classify cells in patient sample according to the generated classification data. Such a blood sample analyzer would allow for the accurate analysis of immune status of adult and child patients. Appellants also argue, in response to the Answer, that "[t]he first/second classification data is based on the adult/child determination and therefore 'classifying the blood cells in the blood sample into a plurality of 9 Appeal2013-003628 Application 12/408,149 types based on a predetermined classification condition and the [first or second] classification data' is clearly a connection between the classification and the determination" (Reply Br. 3). We agree with the Examiner (Ans. 10), however, that claims 1 and 17 do not require using the adult/child determination in classifying the types of blood cells in the sample being analyzed. The claim language, in fact, does not even require the "first classification data" and "second classification data" to be different; thus, the same classification data could be used to classify cells in a sample regardless of whether it was from an adult or a child. Thus, we affirm the rejection of independent claims 1 and 1 7 as being obvious in view of Oosterwijk, Ravkin, Torre-Bueno, and Osugi. Claims 5, 6, and 8 have not been argued separately from claim 1 and therefore fall with that claim. See 37 C.F.R. § 41.37(c)(l)(iv). We also affirm the rejection of claim 9 based on Oosterwijk, Ravkin, Torre-Bueno, Osugi, and Herzenberg because, as noted above, Appellants have waived arguments directed to claim 9. With regard to claims 10, 19, and 22, however, we agree with Appellants that the Examiner has not shown that the cited references disclose "changing the detection sensitivity based on an adult/child determination" (Appeal Br. 9). 7 Appellants argue that a "barcode affixed to the slides in Torre-Bueno ... is not a disclosure of controlling detection 7 Appellants also apply this argument to claim 17 (Appeal Br. 9), but claim 17 does not include the relevant limitation. 10 Appeal2013-003628 Application 12/408,149 sensitivity based on whether a sample is from a child or an adult as claimed" (id.). The Examiner responds that "Torre-Bueno teaches a fluorescence detector (cover figure) that detects a wide range of cells. Absent a limiting teaching with regard to fluorescent ranges that exclude child vs. adult cells, it is interpreted that the broad range of cells ... detected includes fluorescence emitted from both child and adult cells" (Ans. 9). We do not agree with the Examiner's reasoning. The fact that Torre- Bueno' s system could be used with both adult and child cell types and blood samples is not persuasive because the claims specifically require software or a controller to control detection sensitivity based on whether the patient is an adult or a child. Thus, we reverse the rejection of independent claims 10, 19, and 22, and dependent claims 11, 12, 15, 16, and 21 as being obvious in view of Oosterwijk, Ravkin, Torre-Bueno, and Osugi. Conclusion of Law A preponderance of the evidence supports the Examiner's conclusion that Oosterwijk, Ravkin, Torre-Bueno, and Osugi would have made obvious a blood analyzer that comprises a memory comprising instructions to determine whether a patient is a child or an adult, and to classify blood cells into plural types based on either first or second classification data for adult or child blood samples, respectively, as recited in claim 1. However, the Examiner has not adequately explained how the combination of the cited references would have made obvious a blood analyzer comprising a controller for controlling fluorescent light detection 11 Appeal2013-003628 Application 12/408,149 sensitivity based on whether the patient is an adult or a child, as recited in claim 10. SUMMARY We affirm the rejection of claims 1, 5, 6, 8, 9, and 17 under 35 U.S.C. § 103(a). We reverse the rejection of claims 10-12, 15, 16, 19, 21, and 22 under 35 U.S.C. § 103(a). Claims 1, 5, 6, 8, 10-12, 15-17, and 19 have also been provisionally rejected on the ground of nonstatutory obviousness-type double patenting as being unpatentable over (i) claims 1-20 of copending Application No. 12/408,127 (Ans. 8) and (ii) claims 1-3, 6-10, 12, and 19 of copending Application No. 12/408,181 (Ans. 8-9). Appellants do not argue these rejections, so we affirm them. TIME PERIOD FOR RESPONSE No time period for taking any subsequent action in connection with this appeal may be extended under 37 C.F.R. § l.136(a). AFFIRMED-IN-PART 12 Copy with citationCopy as parenthetical citation