Prosecution Insights
Last updated: April 19, 2026
Application No. 18/548,581

METHOD FOR IMPROVING FINENESS OF SPECIFIED REGION ON SURFACE OF LIGHT-CURABLE 3D PRINTED MODEL

Non-Final OA §103
Filed
Sep 01, 2023
Examiner
PAN, YUHUI R
Art Unit
2116
Tech Center
2100 — Computer Architecture & Software
Assignee
Shenzhen Cbd Technology Co. Ltd.
OA Round
1 (Non-Final)
84%
Grant Probability
Favorable
1-2
OA Rounds
2y 8m
To Grant
99%
With Interview

Examiner Intelligence

Grants 84% — above average
84%
Career Allow Rate
492 granted / 589 resolved
+28.5% vs TC avg
Strong +22% interview lift
Without
With
+21.5%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
34 currently pending
Career history
623
Total Applications
across all art units

Statute-Specific Performance

§101
5.9%
-34.1% vs TC avg
§103
49.7%
+9.7% vs TC avg
§102
26.0%
-14.0% vs TC avg
§112
12.1%
-27.9% vs TC avg
Black line = Tech Center average estimate • Based on career data from 589 resolved cases

Office Action

§103
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Allowable Subject Matter Claims 3 – 5, 11 – 14 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1, 2, 6 – 10 are rejected under 35 U.S.C. 103 as being unpatentable over MARKETSMUELLER et al. US 2018/0114368 (hereinafter MARKETSMUELLER) in view of Zhang et al. CN 109203462 (hereinafter Zhang). Regarding claim 1, MARKETSMUELLER teaches: a method for improving the fineness of a specified region on the surface of a light-curable 3D printed model, comprising the following steps: loading and opening a 3D model (Fig. 4, [0087] - - load a 3D model); turning on an anti-aliasing or image edge blurring function for the 3D model ([0077] - - user apply a blur e.g. Gaussian blur to the model) delimiting a first region on the surface of the 3D model according to specific features of the 3D model, and turning on an image sharpening/turning off an anti-aliasing function/turning off an image edge blurring function for the first region ([0077] - - use may select an area and apply a filter such as blur or sharpen to the area, the area applied sharpen filter is a first region), the first region comprising the specific features ([0077] - - the feature in the user selected area is a specific feature); and slicing the 3D model and importing slicing data of the 3D model, which is generated after slicing, into a light- curable printer for light-curable printing. But MARKETSMUELLER does not explicitly teach: slicing the 3D model and importing slicing data of the 3D model, which is generated after slicing, into a light- curable printer for light-curable printing. However, Zhang teaches: slicing the 3D model and importing slicing data of the 3D model, which is generated after slicing, into a light- curable printer for light-curable printing ([0033] - - generating slicing file; exposes 3D printer). MARKETSMUELLER and Zhang are analogous art because they are from the same field of endeavor. They all relate to 3D printing system. Therefore before the effective filing date of the claimed invention, it would have been obvious to a person of ordinary skill in the art to modify the above method, as taught by MARKETSMUELLER, and incorporating slicing and 3D printing, as taught by Zhang. One of ordinary skill in the art would have been motivated to do this modification in order to improve 3D printing efficiency, as suggested by Zhang ([0006]). Regarding claim 2, the combination of MARKETSMUELLER and Zhang teaches all the limitations of the base claims as outlined above. Zhang further teaches: the respective steps are accomplished in 3D printing slicing software ([0033] - - the software generating slicing files is slicing software). MARKETSMUELLER and Zhang are combinable for the same rationale as set forth. Regarding claim 6, MARKETSMUELLER teaches: a method for improving the fineness of a specified region on the surface of a light-curable 3D printed model, comprising the following steps: loading and opening a 3D model (Fig. 4, [0087] - - load a 3D model); selecting a first region and a second region on the surface of the 3D model according to specific features of the 3D model, the first region comprising the specific features ([0077] - - use may select an area and apply a filter; the feature in the user selected area is a specific feature); turning on an anti-aliasing or image edge blurring function for the second region ([0077] - - use may select an area and apply a filter such as blur to the area); But MARKETSMUELLER does not explicitly teach: slicing the 3D model, and importing slicing data of the 3D model, which is generated after slicing, into a light-curable printer for light-curable printing. However, Zhang teaches: slicing the 3D model, and importing slicing data of the 3D model, which is generated after slicing, into a light-curable printer for light-curable printing ([0033] - - generating slicing file; exposes 3D printer). MARKETSMUELLER and Zhang are analogous art because they are from the same field of endeavor. They all relate to 3D printing system. Therefore before the effective filing date of the claimed invention, it would have been obvious to a person of ordinary skill in the art to modify the above method, as taught by MARKETSMUELLER, and incorporating slicing and 3D printing, as taught by Zhang. One of ordinary skill in the art would have been motivated to do this modification in order to improve 3D printing efficiency, as suggested by Zhang ([0006]). Regarding claim 7, the combination of MARKETSMUELLER and Zhang teaches all the limitations of the base claims as outlined above. Zhang further teaches: the respective steps are accomplished in 3D printing slicing software ([0033] - - the software generating slicing files is slicing software). MARKETSMUELLER and Zhang are combinable for the same rationale as set forth. Regarding claim 8, the combination of MARKETSMUELLER and Zhang teaches all the limitations of the base claims as outlined above. MARKETSMUELLER further teaches: delimiting a first region on the surface of the 3D model; and inversely selecting the second region on the surface of the 3D model with the first region as a reference ([0033], [0075] - - applying selection mask to exclude areas). Regarding claim 9, the combination of MARKETSMUELLER and Zhang teaches all the limitations of the base claims as outlined above. MARKETSMUELLER further teaches: delimiting the first region and the second region on the surface of the 3D model in a parallel selection mode according to the specific features of the 3D model ([0076] - - the user may select two or more 3D workspaces for editing). Regarding claim 10, the combination of MARKETSMUELLER and Zhang teaches all the limitations of the base claims as outlined above. MARKETSMUELLER further teaches: turning on an image sharpening function for the first region ([0077] - - user may select an area and apply a sharpen filter to the model). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to YUHUI R PAN whose telephone number is (571)272-9872. The examiner can normally be reached Monday-Friday 8AM-5PM EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Kamini Shah can be reached at (571) 272-2279. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /YUHUI R PAN/Primary Examiner, Art Unit 2116
Read full office action

Prosecution Timeline

Sep 01, 2023
Application Filed
Jan 28, 2026
Non-Final Rejection — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
84%
Grant Probability
99%
With Interview (+21.5%)
2y 8m
Median Time to Grant
Low
PTA Risk
Based on 589 resolved cases by this examiner. Grant probability derived from career allow rate.

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