Semiconductor, packaging & electronics

X-ray package reliability inspection

Measure solder voids, missing or offset joints, wire-bond anomalies, and internal package features from X-ray imagery.

Modalities2D X-rayCT sliceCross-section
Illustrative X-ray view of a semiconductor package and BGA solder array with voids
484
Joints
4.1%
Mean void
6
Findings

Example outputs shown for illustration. Numbers depend on your samples and protocol.

Image: Illustrative rendering (AI-generated, gpt-image-2), not an X-ray image of a specific package

2D X-ray
Projection radiography through the assembled package.
CT slice
Reconstructed slices through the volume.
Cross-section
A prepared section through the feature of interest.

Results

Each measurement below comes from your own images, tied back to the annotated frame it came from, so results stay comparable across samples, locations, and conditions.

% area

Void fraction by joint

Segmented area of the feature divided by the eligible area in the two-dimensional image.

Joints484
<1µm
1-2µm
2-4µm
>4µm

Example, not a claimed result

In your report: Per-field value, size distribution, and the segmentation overlay used.

µm or count

Joint presence & offset

Size and shape measured for every detected object, then summarized across the population.

Illustrative shape

In your report: Per-object table, size distribution, and summary percentiles.

µm or count

Wire-bond / package findings

Size and shape measured for every detected object, then summarized across the population.

Findings6

Example, not a claimed result

In your report: Per-object table, size distribution, and summary percentiles.

per area

Defect location map

Findings placed in sample coordinates to reveal spatial patterns and local density.

Illustrative shape
Bottom
64%
Corner
71%

In your report: Coordinate-referenced map, regional density, and representative images.

Built around your image set

Use the calibrated images your team already collects, together with the locations you need to compare.

01
Representative images
Provide representative 2d x-ray images with a recorded scale calibration and the regions of interest clearly visible.
02
Image capture details
Record instrument, magnification, pixel scale, preparation method, and the smallest feature the review must resolve.
03
What to compare
State the samples, number of fields, and conditions to compare. A single field of view is not treated as a whole-sample result by itself.

Each report includes

The artifacts your team receives, ready for review and archive.

Annotated image set

Original images with regions of interest, measurement points, masks, and finding overlays.

Measurement table

Location-indexed values, units, distributions, and QC flags in a structured export.

Method record

Calibration evidence, analysis settings, version history, and validation summary.

Confidence in every resultTraceable measurements, reviewed against your agreed reference method.
Traceable scale
The report records the image scale, calibration evidence, and a method-specific expanded measurement uncertainty. It does not use one product-wide accuracy number.
Reference comparison
The configured method is compared with your accepted reference method or reviewed annotations, and reports bias by measurement range and image condition.
Detection performance
Detections are evaluated against reviewed reference regions with precision, recall, and segmentation overlap, separated by the conditions that affect performance.
Repeatability
The locked protocol is rerun on the same inputs and on a defined repeat set. The review records variation from image acquisition, sampling, and analysis separately where possible.

What this result does not establish: Quantifies image-visible internal features. X-ray contrast, projection geometry, and validated site criteria determine what can be resolved and how it should be dispositioned.

The measurement, today

X-ray review of BGA and flip-chip packages can be a high-volume visual screen. Subsurface voids and offsets are difficult to summarize consistently across assemblies and lots.

What it costs

Internal package defects may not be visible externally, yet they can influence assembly yield and reliability investigation. Image-linked measurements keep the defect evidence reviewable.

From image to reviewed result

  1. 1

    Load the radiographs

    Upload 2D X-ray, CT-slice, or matched cross-section images for the package population.

  2. 2

    Locate the interconnects

    Register solder joints, package regions, or wire-bond areas using the configured package template.

  3. 3

    Quantify visible findings

    Measure void area, joint geometry proxies, offsets, and other visible internal discontinuities.

  4. 4

    Review by assembly

    Export per-package findings with the original and annotated radiographs.

Talk to a scientist

Not sure this is the right measurement?

Send a representative image and your measurement goal. A ConductVision scientist will confirm whether this is the right fit, or point you to the closer workflow, before you commit to a quote.

Share your image set
One representative image is enough to start the conversation.
Book a 30-minute review
Walk through the measurement plan and confidence evidence live.

Send a sample image and a measurement goal

We will show the closest ConductVision workflow and flag what needs custom validation for your images.