IP Library › Granted Patent US 10,359,613
Granted Patent B2
US 10,359,613 · App. 15/346,594 · Granted Jul 23, 2019

Optical measurement of step size and plated metal thickness

Inventors: James Jianguo Xu (San Jose, CA); Ronny Soetarman (Fremont, CA); Budi Hartono (Fremont, CA)
Assignee: KLA-TENCOR CORPORATION
G02B21/244G02B21/0016G02B21/26G02B21/367G06T7/0006G06T7/571G06T2207/10028G06T2207/10056G06T2207/10148G06T2207/30148
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 10,359,613
App. No.
15/346,594
Granted
Jul 23, 2019
Kind
B2
Abstract

A method of generating 3D information includes: varying the distance between the sample and an objective lens of the optical microscope at pre-determined steps, capturing an image at each pre-determined step; determining a characteristic value of each pixel in each captured image; determining, for each captured image, the greatest characteristic value across all pixels in the captured image; comparing the greatest characteristic value for each captured image to determine if a surface of the sample is present at each pre-determined step; determining a first captured image that is focused on a first surface of the sample based on the characteristic value of each pixel in each captured image; determining a second captured image that is focused on a second surface of the sample based on the characteristic value of each pixel in each captured image; and determining a first distance between the first surface and the second surface.

Claims (57)

1. A method of generating three-dimensional (3-D) information of a sample using an optical microscope, the method comprising:

varying the distance between the sample and an objective lens of the optical microscope at pre-determined steps;

capturing an image at each pre-determined step, wherein a first surface of the sample and a second surface of the sample are within a field of view of each of the captured images;

determining a characteristic value of each pixel in each captured image, wherein the characteristic value is intensity, contrast or fringe contrast;

determining, for each captured image, the greatest characteristic value across all pixels in the captured image;

comparing the greatest characteristic value for each captured image to determine if a surface of the sample is present at each pre-determined step;

determining a first captured image that is focused on a first surface of the sample based on the characteristic value of each pixel in each captured image;

determining a second captured image that is focused on a second surface of the sample based on the characteristic value of each pixel in each captured image;

determining a first distance between the first surface and the second surface;

determining a thickness of a semi-transparent layer of the sample; and

determining a thickness of a metal layer of the sample based at least in part on the thickness of the semi-transparent layer wherein the optical microscope includes a stage, wherein the sample is supported by the stage, wherein the optical microscope is adapted to communicate with a computer system, wherein the computer system includes a memory device that is adapted to store each captured image, wherein the optical microscope one of: a confocal microscope, a structured illumination microscope, or an interferometer, and wherein the characteristic value of each pixel one of: intensity, contrast, or fringe contrast.

2. The method of claim 1 ,

wherein the thickness of the metal layer is equal to the difference between the thickness of the semi-transparent layer and the first distance, wherein the first surface is a top surface of a photoresist layer, and wherein the second surface is a top surface of a metal layer.

3. Wherein the thickness of the metal layer is equal to the sum of the thickness of the semi-transparent layer and the first distance, wherein the first surface is a top surface of a passivation layer, and wherein the second surface is a top surface of a metal layer.

4. The method of claim 2 , wherein only a portion of each captured image is used to determine the thickness of the semi-transparent layer of the sample.

5. The method of claim 4 , wherein the portion of each captured image is selectable by an user input.

6. The method of claim 1 , wherein the determining the thickness of the semi-transparent layer comprises:

determining a third captured image that is focused on light reflected from the bottom surface of the semi-transparent layer of the sample based on the characteristic value of each pixel in each captured image; and

determining the location of the bottom surface of the semi-transparent layer based on the location where the third image was captured and the index of refraction of the semi-transparent layer.

7. A method of generating three-dimensional (3-D) information of a sample using an optical microscope, the method comprising:

varying the distance between the sample and an objective lens of the optical microscope at pre-determined steps;

capturing an image at each pre-determined step, wherein a first surface of the sample and a second surface of the sample are within a field of view of each of the captured images;

determining a characteristic value of each pixel in each captured image;

determining, for each captured image, a count of pixels that have a characteristic value within a first range, wherein all pixels that do not have a characteristic value within the first range are not included in the count of pixels;

determining if a surface of the sample is present at each pre-determined step based on the count of pixels for each captured image;

determining a first captured image that is focused on a first surface of the sample based on the characteristic value of each pixel in each captured image;

determining a second captured image that is focused on a second surface of the sample based on the characteristic value of each pixel in each captured image;

determining a first distance between the first surface and the second surface;

determining a thickness of a semi-transparent layer of the sample; and

determining a thickness of a metal layer of the sample based at least in part on the thickness of the semi-transparent layer wherein the optical microscope includes a stage, wherein the sample is supported by the stage, wherein the optical microscope is adapted to communicate with a computer system, wherein the computer system includes a memory device that is adapted to store each captured image, wherein the optical microscope one of: a confocal microscope, a structured illumination microscope, or an interferometer, and wherein the characteristic value of each pixel one of: intensity, contrast, or fringe contrast.

8. The method of claim 7 ,

wherein the thickness of the metal layer is equal to the difference between the thickness of the semi-transparent layer and the first distance, wherein the first surface is a top surface of a photoresist layer, and wherein the second surface is a top surface of a metal layer.

9. The method of claim 7 ,

wherein the thickness of the metal layer is equal to the sum of the thickness of the semi-transparent layer and the first distance, wherein the first surface is a top surface of a passivation layer, and wherein the second surface is a top surface of a metal layer.

10. The method of claim 9 , wherein only a portion of each captured image is used to determine the thickness of the semi-transparent layer of the sample.

11. The method of claim 10 , wherein the portion of each captured image is selectable by an user input.

12. The method of claim 7 , wherein the determining the thickness of the semi-transparent layer comprises:

determining a third captured image that is focused on light reflected from the semi-transparent layer of the sample based on the characteristic value of each pixel in each captured image; and

determining the location of the bottom surface of the semi-transparent layer based on the location where the third image was captured and the index of refraction of the semi-transparent layer.

13. A three-dimensional (3-D) measurement system, comprising:

an optical microscope comprising an objective lens and a stage, wherein the optical microscope is adapted to vary the distance between a sample supported by the stage and the objective lens of the optical microscope at pre-determined steps; and

a computer system comprising a processor and a storage device, wherein the computer system is adapted to:

store an image captured at each pre-determined step, wherein a first surface of the sample and a second surface of the sample is within a field of view of each image;

determine a characteristic value of each pixel in each captured image, wherein the characteristic value is selected from the group consisting of: intensity, contrast, and fringe contrast;

determine a first captured image that is focused on a first surface of the sample based on the characteristic value of each pixel in each captured image;

determine a second captured image that is focused on a second surface of the sample based on the characteristic value of each pixel in each captured image; and

determine a first distance between the first surface and the second surface,

determine a thickness of a semi-transparent layer of the sample; and

determine a thickness of a metal layer of the sample based at least in part on the thickness of the semi-transparent layer wherein the optical microscope includes a stage, wherein the sample is supported by the stage, wherein the optical microscope is adapted to communicate with a computer system, wherein the computer system includes a memory device that is adapted to store each captured image, wherein the optical microscope one of: a confocal microscope, a structured illumination microscope, or an interferometer, and wherein the characteristic value of each pixel one of: intensity, contrast, or fringe contrast.

14. The three-dimensional (3-D) measurement system of claim 13 ,

wherein the thickness of the metal layer is equal to the difference between the thickness of the semi-transparent layer and the first distance.

15. The three-dimension (3-D) measurement system of claim 13 ,

wherein the thickness of the metal layer is equal to the sum of the thickness of the semi-transparent layer and the first distance.

16. The method of claim 13 , wherein only a portion of each captured image is used to determine the thickness of the semi-transparent layer of the sample, and wherein the portion of each captured image is selectable by an user input.

17. The method of claim 13 , wherein the computer is further adapted to:

receive a user input that identifies a portion of each captured image is to be analyzed.

18. The method of claim 14 , wherein only a portion of each captured image is used to determine the thickness of the semi-transparent layer of the sample.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 9, 2018
From: ZETA INSTRUMENTS, INC.
To: KLA-TENCOR CORPORATION
Reel/Frame 046608/0666 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 1, 2018
From: ZETA INSTRUMENTS, INC.
To: KLA-TENCOR CORPORATION
Reel/Frame 046530/0323 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 8, 2016
From: XU, JAMES JIANGUO; SOETARMAN, RONNY; HARTONO, BUDI
To: ZETA INSTRUMENTS, INC.
Reel/Frame 040258/0766 →
Continuity (3)
Continuation In Part 15338838 · Oct 31, 2016
Continuation In Part 15233812 · Aug 10, 2016
Related Publication 20180045946A1 · Feb 15, 2018