Waferpedia

KLA

2351

The KLA 2351 is an inspection system used for wafer defect detection. The KLA 2351 supports 8 inch and 12 inch wafer sizes. The KLA 2351 uses a wavelength illumination of 370–720 nm, covering visible and UV bands.[1][2]

2351 — Inventory photo
Fig. 012351Inventory photo[1]

Wafer size

Wafer Transfer System

Optics

370~720 nm[1]

What it is

General reference — not yet source-verified

The KLA 2351 is a wafer inspection system for semiconductor metrology and inspection.

Where it fits in the process flow

General reference — not yet source-verified

Wafer inspection is performed during manufacturing to find defects and monitor process excursions before the flow advances to later steps.

Applications

General reference — not yet source-verified

The KLA 2351 is used for wafer defect inspection on semiconductor production wafers.

What do the numbers mean?

Wafer handling7

Repeatability
≥90% (20 consecutive run on the same DSW wafer)[1]
Accurate?
Wafer size
Wafer Transfer System[1]
Accurate?
Wafer Sizes
8 inch; 12 inch[2]
Accurate?
Main Body Components
Inspection Station, Wafer Transfer System, Stage[1]
Accurate?
Wafer Sizes
8 inch[1]
Accurate?
Wafer Sizes
12 inch, 8 inch[2]
Accurate?
Main Body
Inspection Station; Wafer Transfer System; Stage[1]
Accurate?

Optics & imaging3

Wavelength Illumination
370~720 nm[1]
Accurate?
Wavelength Band
Visible, UV[1]
Accurate?
Illumination Wavelength
370~720 nm[1]
Accurate?

Control & software4

With HDD & Software[1]
Accurate?
User Interface:[1]
Accurate?
User Interface
Monitor, Workstation, Keyboard, Trackball, Joystick[1]
Accurate?
Includes
HDD & Software, External Blower, Power Line Conditioner[1]
Accurate?

Configuration & options20

External Blower[1]
Accurate?
Power Line Conditioner[1]
Accurate?
Load Port Qty
2[1]
Accurate?
Pixel Size
0.16μm / 0.20μm / 0.25μm / 0.39μm / 0.62μm[1]
Accurate?
Array Defect Capture Rate
≥90% (0.16 um, 0.20 um, 0.25 um, 0.39 um, 0.62 um sensitivities)[1]
Accurate?
Array False Defect Rate
≤1.5%(all sizes)[1]
Accurate?
Random Defect Capture Rate
≥90% (0.16 um, 0.20 um, 0.25 um, 0.39 um, 0.62 um sensitivities)[1]
Accurate?
Random False Defect Rate
≤1.5% (all sizes)[1]
Accurate?
Monitor[1]
Accurate?
Workstation[1]
Accurate?
Keyboard, Trackball, Joystick[1]
Accurate?
Main Body:[1]
Accurate?
Inspection Station[1]
Accurate?
Stage[1]
Accurate?
Refurbished[2]
Accurate?
Pixel Sizes
0.16μm / 0.20μm / 0.25μm / 0.39μm / 0.62μm[1]
Accurate?
Vintage
2002[1]
Accurate?
Load Port Quantity
2[1]
Accurate?
Make
KLA[1]
Accurate?
Model
2351[1]
Accurate?
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Where are the manuals?

Generated from public-source data on file. Enter your email to access — nothing is published; details are routed privately.

Not publicly documented

Field notes

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Frequently asked questions

How does the inspection sensitivity compare between die-to-die and die-to-database modes?General reference — not yet source-verified

Die-to-die comparison is typically faster and works well for masks with repeating patterns, while die-to-database mode can identify defects even in non-repeating areas by comparing the captured image against the designed layout. The sensitivity level achievable depends on the optical resolution of the system and the quality of the reference data.

Can this class of system inspect both bright-field and dark-field features?General reference — not yet source-verified

Many advanced reticle inspection systems support multiple illumination modes such as transmitted, reflected, and even polarized light to enhance contrast for different defect types and absorber materials. The choice of illumination mode is selected based on the mask blank and pattern characteristics.

What is typical throughput for a system in this class?General reference — not yet source-verified

Throughput varies significantly with the mask size, required resolution, and defect sensitivity settings. In general, higher sensitivity inspections take longer. Machines of this class are designed to balance speed and sensitivity for production environments, with automated handling to minimize operator intervention.

How are false defects (nuisance defects) managed?General reference — not yet source-verified

Sophisticated image processing and machine learning algorithms are employed to filter out nuisance defects that are not actually pattern errors or contaminants. The system allows tuning of detection thresholds and can learn from user feedback to reduce false counts without compromising real defect capture rate.

Not publicly documented

The following facts about the 2351 are absent from this record as of this revision. First-hand knowledge or a citation closes a gap; every submission is reviewed before publication.

  • No publicly documented production dates or lifecycle milestones (introduction, end of production, EOL) for the 2351 are on record.

    Answerable by: OEM historical records or a trade-press announcement

  • No publicly documented variants, configuration options, or revision breakpoints of the 2351 are on record.

    Answerable by: an OEM product catalog or an engineer who ordered or specified the tool

  • The control-system platform and OS era of the 2351 are not on record.

    Answerable by: an engineer who operated it or OEM installation records

  • No publicly documented failure modes or field errata for the 2351 are on record.

    Answerable by: a field service engineer, process engineer, or maintenance technician

  • The process node or technology generation of the 2351 is not on record.

    Answerable by: an OEM datasheet or a fab qualification report

No research found yet — worked with this tool? Share what you know.

Sources & citations

Sources (5)Every fact above is drawn from these public sources
  1. [1]Inventory photo
  2. [2]inventory listing
  3. [3]Inventory photo
  4. [4]Inventory photo
  5. [5]KLA Tencor | AIT UV High-Throughput, High-Sensitivity Wafer Inspection - Certified Used Equipment — kla-tencor.com (Jan 7, 2011)web.archive.org
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Last updated Oct 3, 2026.

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