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Aug 5, 2025
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docs: fix blog article titles #129

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18 changes: 9 additions & 9 deletions blog/release.md
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Expand Up @@ -8,9 +8,9 @@ We're excited to announce the release of a new major version of ImageJS. This ve

<!-- truncate -->

# API Changes
# API changes

## 🔷 TypeScript Support
## 🔷 TypeScript support

All APIs now have strict TypeScript definitions:

Expand Down Expand Up @@ -111,7 +111,7 @@ const mask = new Mask(10, 10);

The new `Mask` class uses 1 byte per pixel (vs 8 pixels per byte), trading ~8x memory usage for significantly faster bit operations and simpler data manipulation.

### Regions of Interest
### Regions of interest

API for handling of regions of interest has also been changed.
ROI map creation methods like `fromMask()` and `fromWatershed()` are now standalone functions `fromMask()` and `watershed()`.
Expand Down Expand Up @@ -257,7 +257,7 @@ Several methods have been renamed for consistency:

- Node.js: 18+ (previously 14+)

### Removed Features
### Removed features

The following deprecated features have been removed:

Expand Down Expand Up @@ -291,7 +291,7 @@ The following deprecated features have been removed:
- `mergeRoi()` and `mergeRois()` have been removed.
- `minX`,`minY`,`meanX`,`meanY`,`maxX`,`maxY` have been removed. Use [ROI's `origin`, combined with its `width` and `height`](https://image-js.github.io/image-js/classes/index.Roi.html 'API link on ROI').

## 🆕 New Features
## 🆕 New features

### `transform()`

Expand All @@ -304,7 +304,7 @@ const warped = img.transform(matrix);

For more details, [visit our tutorial](/docs/Tutorials/Applying%20transform%20function%20on%20images 'internal link on transform function tutorial') on how image transformations work how they can be used.

### Bicubic Interpolation
### Bicubic interpolation

High-quality image scaling is now available with [bicubic interpolation](https://en.wikipedia.org/wiki/Bicubic_interpolation 'wikipedia link on bicubic interpolation'):

Expand Down Expand Up @@ -505,7 +505,7 @@ const clearedMask = mask.clearBorder();

The Stack class has been significantly expanded with new methods for batch processing and statistical analysis of image collections.

### Filtering and Transformations
### Filtering and transformations

A user can now filter images based on custom criteria using `filter()`:

Expand All @@ -532,7 +532,7 @@ const modifiedStack = stack.map((img) => {
});
```

### Stack Analysis Operations
### Stack analysis operations

It is now possible to generate a median image from the entire stack - useful for noise reduction and background subtraction:

Expand All @@ -548,7 +548,7 @@ const summedImage = stack.sum();

**Use Cases**: Time-lapse analysis, scientific imaging.

### Stack Pixel Value Access
### Stack pixel value access

Access specific pixel values from any image in the stack using two convenient methods:

Expand Down