diff --git a/backend/execution.py b/backend/execution.py
index 740f4c6..a0e01b6 100644
--- a/backend/execution.py
+++ b/backend/execution.py
@@ -181,6 +181,7 @@ class ExecutionEngine:
         """Wire up broadcast callbacks on display node classes."""
         from backend.nodes.display import PreviewImage, PrintTable, View3D
         from backend.nodes.analysis import CrossSection, LineCursors
+        from backend.nodes.modify import CropResizeField
         from backend.nodes.mask import ThresholdMask, MaskMorphology, MaskInvert, MaskCombine
         from backend.nodes.io import SaveImage, LoadFile
 
@@ -193,6 +194,7 @@ class ExecutionEngine:
         PrintTable._broadcast_table_fn = on_table
         CrossSection._broadcast_overlay_fn = on_overlay
         LineCursors._broadcast_overlay_fn = on_overlay
+        CropResizeField._broadcast_overlay_fn = on_overlay
         LoadFile._broadcast_warning_fn = on_warning
         SaveImage._broadcast_warning_fn = on_warning
 
@@ -200,9 +202,10 @@ class ExecutionEngine:
         """Inform display nodes of their current node_id for WS tagging."""
         from backend.nodes.display import PreviewImage, PrintTable, View3D
         from backend.nodes.analysis import CrossSection, LineCursors
+        from backend.nodes.modify import CropResizeField
         from backend.nodes.mask import ThresholdMask, MaskMorphology, MaskInvert, MaskCombine
         from backend.nodes.io import LoadFile, SaveImage
-        if cls in (PreviewImage, PrintTable, View3D, CrossSection, LineCursors,
+        if cls in (PreviewImage, PrintTable, View3D, CrossSection, LineCursors, CropResizeField,
                    ThresholdMask, MaskMorphology, MaskInvert, MaskCombine,
                    LoadFile, SaveImage):
             cls._current_node_id = node_id
diff --git a/backend/nodes/__init__.py b/backend/nodes/__init__.py
index cae9bb6..2515999 100644
--- a/backend/nodes/__init__.py
+++ b/backend/nodes/__init__.py
@@ -1,2 +1,2 @@
 # Import all node modules to trigger @register_node decorators.
-from . import io, filters, level, analysis, grains, mask, display
+from . import io, filters, modify, level, analysis, grains, mask, display
diff --git a/backend/nodes/io.py b/backend/nodes/io.py
index 3c9de0d..f34fe52 100644
--- a/backend/nodes/io.py
+++ b/backend/nodes/io.py
@@ -395,6 +395,46 @@ class Coordinate:
         return ((float(x), float(y)),)
 
 
+# ---------------------------------------------------------------------------
+# RangeSlider
+# ---------------------------------------------------------------------------
+
+@register_node(display_name="Float Slider")
+class RangeSlider:
+    """Interactive float control node with min/max bounds and a slider value."""
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "min_value": ("FLOAT", {"default": 0.0, "step": 0.01}),
+                "max_value": ("FLOAT", {"default": 1.0, "step": 0.01}),
+                "value": ("FLOAT", {
+                    "default": 0.5,
+                    "step": 0.01,
+                    "slider": True,
+                    "min_widget": "min_value",
+                    "max_widget": "max_value",
+                }),
+            }
+        }
+
+    RETURN_TYPES = ("FLOAT",)
+    RETURN_NAMES = ("value",)
+    FUNCTION = "process"
+    CATEGORY = "io"
+    DESCRIPTION = (
+        "Interactive float slider. Set min and max bounds, then drag the slider to output a FLOAT value."
+    )
+
+    def process(self, min_value: float, max_value: float, value: float) -> tuple:
+        lo = min(float(min_value), float(max_value))
+        hi = max(float(min_value), float(max_value))
+        if hi == lo:
+            return (lo,)
+        return (float(np.clip(float(value), lo, hi)),)
+
+
 # ---------------------------------------------------------------------------
 # SaveImage
 # ---------------------------------------------------------------------------
diff --git a/backend/nodes/modify.py b/backend/nodes/modify.py
new file mode 100644
index 0000000..cebc1aa
--- /dev/null
+++ b/backend/nodes/modify.py
@@ -0,0 +1,247 @@
+"""
+Modify nodes — geometric transforms for DATA_FIELDs.
+"""
+
+from __future__ import annotations
+
+import numpy as np
+
+from backend.node_registry import register_node
+from backend.data_types import DataField, datafield_to_uint8, encode_preview
+
+
+# ---------------------------------------------------------------------------
+# CropResizeField
+# ---------------------------------------------------------------------------
+
+@register_node(display_name="Crop / Resize")
+class CropResizeField:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "field": ("DATA_FIELD",),
+                "x1": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.01, "hidden": True}),
+                "y1": ("FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.01, "hidden": True}),
+                "x2": ("FLOAT", {"default": 0.8, "min": 0.0, "max": 1.0, "step": 0.01, "hidden": True}),
+                "y2": ("FLOAT", {"default": 0.8, "min": 0.0, "max": 1.0, "step": 0.01, "hidden": True}),
+                "target_width": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
+                "target_height": ("INT", {"default": 0, "min": 0, "max": 8192, "step": 1}),
+                "interpolation": (["bilinear", "nearest", "bicubic"],),
+            },
+            "optional": {
+                "corner_a": ("COORD",),
+                "corner_b": ("COORD",),
+            },
+        }
+
+    RETURN_TYPES = ("DATA_FIELD",)
+    RETURN_NAMES = ("field",)
+    FUNCTION = "process"
+    CATEGORY = "modify"
+    DESCRIPTION = (
+        "Crop a DATA_FIELD with a draggable rectangle defined by two corners, then optionally resize it. "
+        "Incoming COORD inputs can lock either corner. Cropping updates physical extents and offsets; "
+        "resizing preserves the cropped physical size."
+    )
+
+    _broadcast_overlay_fn = None
+    _current_node_id: str = ""
+
+    def process(
+        self,
+        field: DataField,
+        x1: float,
+        y1: float,
+        x2: float,
+        y2: float,
+        target_width: int,
+        target_height: int,
+        interpolation: str,
+        corner_a=None,
+        corner_b=None,
+    ) -> tuple:
+        if corner_a is not None:
+            x1, y1 = float(corner_a[0]), float(corner_a[1])
+        if corner_b is not None:
+            x2, y2 = float(corner_b[0]), float(corner_b[1])
+
+        x1 = float(np.clip(x1, 0.0, 1.0))
+        y1 = float(np.clip(y1, 0.0, 1.0))
+        x2 = float(np.clip(x2, 0.0, 1.0))
+        y2 = float(np.clip(y2, 0.0, 1.0))
+
+        if CropResizeField._broadcast_overlay_fn is not None:
+            CropResizeField._broadcast_overlay_fn(
+                CropResizeField._current_node_id,
+                {
+                    "kind": "crop_box",
+                    "image": encode_preview(datafield_to_uint8(field, field.colormap)),
+                    "x1": x1,
+                    "y1": y1,
+                    "x2": x2,
+                    "y2": y2,
+                    "a_locked": corner_a is not None,
+                    "b_locked": corner_b is not None,
+                },
+            )
+
+        left = min(x1, x2)
+        right = max(x1, x2)
+        top = min(y1, y2)
+        bottom = max(y1, y2)
+        if right <= left or bottom <= top:
+            raise ValueError("Crop region must have non-zero width and height.")
+
+        px0 = int(np.floor(left * field.xres))
+        py0 = int(np.floor(top * field.yres))
+        px1 = int(np.ceil(right * field.xres))
+        py1 = int(np.ceil(bottom * field.yres))
+
+        px0 = min(max(px0, 0), field.xres - 1)
+        py0 = min(max(py0, 0), field.yres - 1)
+        px1 = min(max(px1, px0 + 1), field.xres)
+        py1 = min(max(py1, py0 + 1), field.yres)
+
+        cropped = field.data[py0:py1, px0:px1].copy()
+        cropped_field = field.replace(
+            data=cropped,
+            xreal=(px1 - px0) * field.dx,
+            yreal=(py1 - py0) * field.dy,
+            xoff=field.xoff + px0 * field.dx,
+            yoff=field.yoff + py0 * field.dy,
+        )
+
+        target_width, target_height = self._resolve_target_shape(
+            cropped_field.xres, cropped_field.yres, target_width, target_height,
+        )
+        if (target_width, target_height) == (cropped_field.xres, cropped_field.yres):
+            return (cropped_field,)
+
+        from PIL import Image
+
+        resample_map = {
+            "nearest": Image.Resampling.NEAREST,
+            "bilinear": Image.Resampling.BILINEAR,
+            "bicubic": Image.Resampling.BICUBIC,
+        }
+        if interpolation not in resample_map:
+            raise ValueError(f"Unknown interpolation mode: {interpolation}")
+
+        resized = Image.fromarray(cropped_field.data.astype(np.float32)).resize(
+            (target_width, target_height),
+            resample=resample_map[interpolation],
+        )
+        resized_data = np.asarray(resized, dtype=np.float64)
+        return (cropped_field.replace(data=resized_data),)
+
+    @staticmethod
+    def _resolve_target_shape(
+        width: int,
+        height: int,
+        target_width: int,
+        target_height: int,
+    ) -> tuple[int, int]:
+        target_width = int(target_width)
+        target_height = int(target_height)
+
+        if target_width < 0 or target_height < 0:
+            raise ValueError("Target dimensions must be zero or positive.")
+
+        if target_width == 0 and target_height == 0:
+            return (width, height)
+        if target_width == 0:
+            target_width = max(1, int(round(width * (target_height / height))))
+        if target_height == 0:
+            target_height = max(1, int(round(height * (target_width / width))))
+
+        return (max(1, target_width), max(1, target_height))
+
+
+# ---------------------------------------------------------------------------
+# RotateField
+# ---------------------------------------------------------------------------
+
+@register_node(display_name="Rotate")
+class RotateField:
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "field": ("DATA_FIELD",),
+                "angle": ("FLOAT", {"default": 90.0, "min": -360.0, "max": 360.0, "step": 1.0}),
+                "interpolation": (["bilinear", "nearest", "bicubic"],),
+                "expand_canvas": ("BOOLEAN", {"default": True}),
+            }
+        }
+
+    RETURN_TYPES = ("DATA_FIELD",)
+    RETURN_NAMES = ("field",)
+    FUNCTION = "process"
+    CATEGORY = "modify"
+    DESCRIPTION = (
+        "Rotate a DATA_FIELD counterclockwise by an angle in degrees. "
+        "Optionally expand the canvas to keep the full rotated field while preserving the field center."
+    )
+
+    def process(
+        self,
+        field: DataField,
+        angle: float,
+        interpolation: str,
+        expand_canvas: bool,
+    ) -> tuple:
+        angle = float(angle)
+        order_map = {
+            "nearest": 0,
+            "bilinear": 1,
+            "bicubic": 3,
+        }
+        if interpolation not in order_map:
+            raise ValueError(f"Unknown interpolation mode: {interpolation}")
+
+        normalized_angle = angle % 360.0
+        snapped_quarters = int(round(normalized_angle / 90.0)) % 4
+        snapped_angle = snapped_quarters * 90.0
+        is_right_angle = abs(normalized_angle - snapped_angle) < 1e-9
+
+        if is_right_angle and expand_canvas:
+            rotated = np.rot90(field.data, k=snapped_quarters).copy()
+        elif abs(normalized_angle) < 1e-9:
+            rotated = field.data.copy()
+        else:
+            from scipy.ndimage import rotate as nd_rotate
+
+            rotated = nd_rotate(
+                field.data,
+                angle=angle,
+                reshape=bool(expand_canvas),
+                order=order_map[interpolation],
+                mode="nearest",
+                prefilter=order_map[interpolation] > 1,
+            )
+
+        new_xreal, new_yreal = self._rotated_extents(field, angle, expand_canvas)
+        center_x = field.xoff + field.xreal / 2.0
+        center_y = field.yoff + field.yreal / 2.0
+
+        result = field.replace(
+            data=np.asarray(rotated, dtype=np.float64),
+            xreal=new_xreal,
+            yreal=new_yreal,
+            xoff=center_x - new_xreal / 2.0,
+            yoff=center_y - new_yreal / 2.0,
+        )
+        return (result,)
+
+    @staticmethod
+    def _rotated_extents(field: DataField, angle: float, expand_canvas: bool) -> tuple[float, float]:
+        if not expand_canvas:
+            return (field.xreal, field.yreal)
+
+        theta = np.deg2rad(angle)
+        cos_t = abs(float(np.cos(theta)))
+        sin_t = abs(float(np.sin(theta)))
+        new_xreal = field.xreal * cos_t + field.yreal * sin_t
+        new_yreal = field.xreal * sin_t + field.yreal * cos_t
+        return (new_xreal, new_yreal)
diff --git a/frontend/src/App.jsx b/frontend/src/App.jsx
index 26c5cff..2880ba6 100644
--- a/frontend/src/App.jsx
+++ b/frontend/src/App.jsx
@@ -26,6 +26,7 @@ const TYPE_COLORS = {
   LINE:       '#ffbe5c',
   TABLE:      '#35e2fd',
   COORD:      '#e91ed1',
+  FLOAT:      '#7dd3fc',
 };
 
 const NODE_TYPES = { custom: CustomNode };
diff --git a/frontend/src/CropBoxOverlay.jsx b/frontend/src/CropBoxOverlay.jsx
new file mode 100644
index 0000000..858703b
--- /dev/null
+++ b/frontend/src/CropBoxOverlay.jsx
@@ -0,0 +1,88 @@
+import React, { useRef, useState, useCallback } from 'react';
+
+export default function CropBoxOverlay({
+  image, x1, y1, x2, y2,
+  aLocked, bLocked,
+  nodeId, onWidgetChange,
+}) {
+  const containerRef = useRef(null);
+  const [dragging, setDragging] = useState(null);
+
+  const getCoords = useCallback((e) => {
+    const rect = containerRef.current.getBoundingClientRect();
+    return {
+      fx: Math.max(0, Math.min(1, (e.clientX - rect.left) / rect.width)),
+      fy: Math.max(0, Math.min(1, (e.clientY - rect.top) / rect.height)),
+    };
+  }, []);
+
+  const onPointerDown = useCallback((point) => (e) => {
+    if (point === 'p1' && aLocked) return;
+    if (point === 'p2' && bLocked) return;
+    e.stopPropagation();
+    e.preventDefault();
+    e.target.setPointerCapture(e.pointerId);
+    setDragging(point);
+  }, [aLocked, bLocked]);
+
+  const onPointerMove = useCallback((e) => {
+    if (!dragging || !containerRef.current) return;
+    const { fx, fy } = getCoords(e);
+    const vx = parseFloat(fx.toFixed(3));
+    const vy = parseFloat(fy.toFixed(3));
+    if (dragging === 'p1') {
+      onWidgetChange(nodeId, 'x1', vx);
+      onWidgetChange(nodeId, 'y1', vy);
+    } else {
+      onWidgetChange(nodeId, 'x2', vx);
+      onWidgetChange(nodeId, 'y2', vy);
+    }
+  }, [dragging, getCoords, nodeId, onWidgetChange]);
+
+  const onPointerUp = useCallback(() => {
+    setDragging(null);
+  }, []);
+
+  const left = Math.min(x1, x2);
+  const right = Math.max(x1, x2);
+  const top = Math.min(y1, y2);
+  const bottom = Math.max(y1, y2);
+
+  return (
+    <div
+      ref={containerRef}
+      className="nodrag nowheel crop-overlay"
+      onPointerMove={onPointerMove}
+      onPointerUp={onPointerUp}
+      onLostPointerCapture={onPointerUp}
+    >
+      <img src={image} alt="crop source" draggable={false} className="crop-image" />
+
+      <div className="crop-dim" style={{ left: 0, top: 0, width: '100%', height: `${top * 100}%` }} />
+      <div className="crop-dim" style={{ left: 0, top: `${top * 100}%`, width: `${left * 100}%`, height: `${(bottom - top) * 100}%` }} />
+      <div className="crop-dim" style={{ left: `${right * 100}%`, top: `${top * 100}%`, width: `${(1 - right) * 100}%`, height: `${(bottom - top) * 100}%` }} />
+      <div className="crop-dim" style={{ left: 0, top: `${bottom * 100}%`, width: '100%', height: `${(1 - bottom) * 100}%` }} />
+
+      <div
+        className="crop-rect"
+        style={{
+          left: `${left * 100}%`,
+          top: `${top * 100}%`,
+          width: `${(right - left) * 100}%`,
+          height: `${(bottom - top) * 100}%`,
+        }}
+      />
+
+      <div
+        className={`crop-marker ${aLocked ? 'crop-marker-locked' : ''}`}
+        style={{ left: `${x1 * 100}%`, top: `${y1 * 100}%` }}
+        onPointerDown={onPointerDown('p1')}
+      />
+      <div
+        className={`crop-marker ${bLocked ? 'crop-marker-locked' : ''}`}
+        style={{ left: `${x2 * 100}%`, top: `${y2 * 100}%` }}
+        onPointerDown={onPointerDown('p2')}
+      />
+    </div>
+  );
+}
diff --git a/frontend/src/CustomNode.jsx b/frontend/src/CustomNode.jsx
index 97ee57a..e2571b1 100644
--- a/frontend/src/CustomNode.jsx
+++ b/frontend/src/CustomNode.jsx
@@ -4,10 +4,12 @@ import LinePlotOverlay from './LinePlotOverlay';
 
 const SurfaceView = lazy(() => import('./SurfaceView'));
 const CrossSectionOverlay = lazy(() => import('./CrossSectionOverlay'));
+const CropBoxOverlay = lazy(() => import('./CropBoxOverlay'));
 
 // ── Constants ─────────────────────────────────────────────────────────
 
 const DATA_TYPES = new Set(['DATA_FIELD', 'IMAGE', 'LINE', 'TABLE', 'COORD']);
+const SOCKET_WIDGET_TYPES = new Set(['FLOAT']);
 
 const TYPE_COLORS = {
   DATA_FIELD: '#3a7abf',
@@ -15,11 +17,13 @@ const TYPE_COLORS = {
   LINE:       '#ff9800',
   TABLE:      '#fdd835',
   COORD:      '#e91e63',
+  FLOAT:      '#7dd3fc',
 };
 
 const CAT_COLORS = {
   io:       '#37474f',
   filters:  '#1a237e',
+  modify:   '#0f766e',
   level:    '#1b5e20',
   analysis: '#4a148c',
   grains:   '#bf360c',
@@ -189,7 +193,7 @@ function CustomNode({ id, data }) {
     } else if (opts?.hidden) {
       hiddenWidgets.add(name);
     } else {
-      widgets.push({ name, type, opts: opts || {} });
+      widgets.push({ name, type, opts: opts || {}, socketType: SOCKET_WIDGET_TYPES.has(type) ? type : null });
     }
   }
 
@@ -214,7 +218,7 @@ function CustomNode({ id, data }) {
   );
 
   for (const [name, spec] of Object.entries(optional)) {
-    const [type] = Array.isArray(spec) ? spec : [spec];
+    const [type, opts] = Array.isArray(spec) ? spec : [spec, {}];
     if (isProgressive && DATA_TYPES.has(type)) {
       // Progressive: show this slot only if it's the first or the previous is connected
       const match = name.match(/^field_(\d+)$/);
@@ -226,7 +230,13 @@ function CustomNode({ id, data }) {
         continue;
       }
     }
-    dataInputs.push({ name, type });
+    if (opts?.hidden) {
+      hiddenWidgets.add(name);
+    } else if (DATA_TYPES.has(type)) {
+      dataInputs.push({ name, type });
+    } else {
+      widgets.push({ name, type, opts: opts || {}, socketType: SOCKET_WIDGET_TYPES.has(type) ? type : null });
+    }
   }
 
   const outputs = def.output.map((type, i) => ({
@@ -291,11 +301,21 @@ function CustomNode({ id, data }) {
 
         {/* Widget rows */}
         {widgets.map((w) => (
-          <div className="widget-row" key={w.name}>
+          <div className={`widget-row${w.socketType ? ' widget-row-socket' : ''}`} key={w.name}>
+            {w.socketType && (
+              <Handle
+                type="target"
+                position={Position.Left}
+                id={`input::${w.name}::${w.socketType}`}
+                className="typed-handle"
+                style={{ background: TYPE_COLORS[w.socketType] || '#999' }}
+              />
+            )}
             <WidgetControl
               widget={w}
               nodeId={id}
               value={data.widgetValues[w.name]}
+              widgetValues={data.widgetValues}
               onChange={ctx.onWidgetChange}
               openFileBrowser={ctx.openFileBrowser}
             />
@@ -347,7 +367,7 @@ function CustomNode({ id, data }) {
 
         {/* Interactive cross-section overlay */}
         {data.overlay && hiddenWidgets.has('x1') && (
-          <CollapsibleSection title="Cross Section" defaultOpen={true}>
+          <CollapsibleSection title={data.overlay.kind === 'crop_box' ? 'Crop' : 'Cross Section'} defaultOpen={true}>
             <Suspense fallback={<div className="node-preview" style={{color:'#64748b',padding:4}}>Loading...</div>}>
               {data.overlay.kind === 'line_plot' ? (
                 <LinePlotOverlay
@@ -359,6 +379,18 @@ function CustomNode({ id, data }) {
                   nodeId={id}
                   onWidgetChange={ctx.onWidgetChange}
                 />
+              ) : data.overlay.kind === 'crop_box' ? (
+                <CropBoxOverlay
+                  image={data.overlay.image}
+                  x1={data.overlay.a_locked ? data.overlay.x1 : (data.widgetValues.x1 ?? data.overlay.x1)}
+                  y1={data.overlay.a_locked ? data.overlay.y1 : (data.widgetValues.y1 ?? data.overlay.y1)}
+                  x2={data.overlay.b_locked ? data.overlay.x2 : (data.widgetValues.x2 ?? data.overlay.x2)}
+                  y2={data.overlay.b_locked ? data.overlay.y2 : (data.widgetValues.y2 ?? data.overlay.y2)}
+                  aLocked={data.overlay.a_locked}
+                  bLocked={data.overlay.b_locked}
+                  nodeId={id}
+                  onWidgetChange={ctx.onWidgetChange}
+                />
               ) : (
                 <CrossSectionOverlay
                   image={data.overlay.image}
@@ -403,7 +435,7 @@ function CustomNode({ id, data }) {
 
 // ── Widget renderer ───────────────────────────────────────────────────
 
-function WidgetControl({ widget, nodeId, value, onChange, openFileBrowser }) {
+function WidgetControl({ widget, nodeId, value, widgetValues, onChange, openFileBrowser }) {
   const { name, type, opts } = widget;
   const val = value ?? opts?.default ?? '';
 
@@ -449,6 +481,39 @@ function WidgetControl({ widget, nodeId, value, onChange, openFileBrowser }) {
   }
 
   if (type === 'FLOAT') {
+    if (opts?.slider) {
+      const rawMin = opts?.min_widget ? widgetValues?.[opts.min_widget] : opts?.min;
+      const rawMax = opts?.max_widget ? widgetValues?.[opts.max_widget] : opts?.max;
+      const parsedMin = Number(rawMin);
+      const parsedMax = Number(rawMax);
+      let sliderMin = Number.isFinite(parsedMin) ? parsedMin : 0;
+      let sliderMax = Number.isFinite(parsedMax) ? parsedMax : 1;
+      if (sliderMax < sliderMin) [sliderMin, sliderMax] = [sliderMax, sliderMin];
+      const step = opts?.step ?? 0.01;
+      const numericVal = Number(val);
+      const clampedVal = Number.isFinite(numericVal)
+        ? Math.min(sliderMax, Math.max(sliderMin, numericVal))
+        : sliderMin;
+
+      return (
+        <>
+          <label>{name}</label>
+          <div className="slider-control">
+            <input
+              className="nodrag slider-input"
+              type="range"
+              min={sliderMin}
+              max={sliderMax}
+              step={step}
+              value={clampedVal}
+              onChange={(e) => onChange(nodeId, name, parseFloat(e.target.value))}
+            />
+            <span className="slider-value">{clampedVal.toFixed(4)}</span>
+          </div>
+        </>
+      );
+    }
+
     return (
       <>
         <label>{name}</label>
diff --git a/frontend/src/styles.css b/frontend/src/styles.css
index 597f4d6..a98fc90 100644
--- a/frontend/src/styles.css
+++ b/frontend/src/styles.css
@@ -196,6 +196,11 @@ html, body, #root {
   display: flex;
   align-items: center;
   gap: 6px;
+  position: relative;
+}
+
+.widget-row-socket {
+  padding-left: 20px;
 }
 
 .widget-row label {
@@ -222,6 +227,28 @@ html, body, #root {
   accent-color: #3a7abf;
 }
 
+.slider-control {
+  display: flex;
+  align-items: center;
+  gap: 6px;
+  flex: 1;
+  min-width: 0;
+}
+
+.slider-input {
+  flex: 1;
+  min-width: 0;
+  accent-color: #7dd3fc;
+}
+
+.slider-value {
+  font-family: "SF Mono", "Fira Code", monospace;
+  font-size: 10px;
+  color: #cbd5e1;
+  min-width: 52px;
+  text-align: right;
+}
+
 .widget-row input:focus,
 .widget-row select:focus {
   outline: none;
@@ -402,6 +429,58 @@ html, body, #root {
   cursor: default;
 }
 
+.crop-overlay {
+  position: relative;
+  user-select: none;
+  touch-action: none;
+  overflow: hidden;
+}
+
+.crop-image {
+  width: 100%;
+  display: block;
+}
+
+.crop-dim {
+  position: absolute;
+  background: rgba(2, 6, 23, 0.58);
+  pointer-events: none;
+}
+
+.crop-rect {
+  position: absolute;
+  border: 2px solid #7dd3fc;
+  box-shadow: inset 0 0 0 1px rgba(255, 255, 255, 0.22);
+  background: transparent;
+  pointer-events: none;
+}
+
+.crop-marker {
+  position: absolute;
+  width: 14px;
+  height: 14px;
+  border-radius: 50%;
+  background: #7dd3fc;
+  border: 2px solid #fff;
+  transform: translate(-50%, -50%);
+  cursor: grab;
+  box-shadow: 0 0 4px rgba(0,0,0,0.6);
+  z-index: 1;
+}
+
+.crop-marker:active:not(.crop-marker-locked) {
+  cursor: grabbing;
+  background: #bae6fd;
+  transform: translate(-50%, -50%) scale(1.15);
+}
+
+.crop-marker-locked {
+  background: #e91e63;
+  border-color: #e91e63;
+  cursor: default;
+  opacity: 0.9;
+}
+
 /* ── 3D surface view ──────────────────────────────────────────────── */
 .surface-view-container {
   width: 100%;
diff --git a/tests/test_nodes.py b/tests/test_nodes.py
index e22f062..a0d1ce1 100644
--- a/tests/test_nodes.py
+++ b/tests/test_nodes.py
@@ -64,6 +64,165 @@ def test_median_filter():
     print("  PASS\n")
 
 
+def test_crop_resize_field():
+    print("=== Test: CropResizeField ===")
+    from backend.nodes.modify import CropResizeField
+    node = CropResizeField()
+
+    data = np.arange(32, dtype=np.float64).reshape(4, 8)
+    field = DataField(
+        data=data,
+        xreal=8.0,
+        yreal=4.0,
+        xoff=10.0,
+        yoff=20.0,
+        si_unit_xy="nm",
+        si_unit_z="nm",
+    )
+
+    overlays = []
+    CropResizeField._broadcast_overlay_fn = lambda nid, data: overlays.append(data)
+    CropResizeField._current_node_id = "test"
+
+    cropped, = node.process(
+        field,
+        x1=0.25,
+        y1=0.25,
+        x2=0.75,
+        y2=1.0,
+        target_width=0,
+        target_height=0,
+        interpolation="bilinear",
+    )
+    assert cropped.data.shape == (3, 4)
+    assert np.array_equal(cropped.data, data[1:4, 2:6])
+    assert cropped.xreal == 4.0
+    assert cropped.yreal == 3.0
+    assert cropped.xoff == 12.0
+    assert cropped.yoff == 21.0
+    assert cropped.si_unit_xy == field.si_unit_xy
+    assert cropped.si_unit_z == field.si_unit_z
+    assert len(overlays) == 1
+    assert overlays[0]["kind"] == "crop_box"
+    assert overlays[0]["image"].startswith("data:image/png;base64,")
+    assert overlays[0]["a_locked"] is False
+    assert overlays[0]["b_locked"] is False
+
+    resized, = node.process(
+        field,
+        x1=0.0,
+        y1=0.0,
+        x2=1.0,
+        y2=1.0,
+        target_width=8,
+        target_height=0,
+        interpolation="bilinear",
+        corner_a=(0.25, 0.25),
+        corner_b=(0.75, 1.0),
+    )
+    assert resized.data.shape == (6, 8)
+    assert resized.xreal == cropped.xreal
+    assert resized.yreal == cropped.yreal
+    assert resized.xoff == cropped.xoff
+    assert resized.yoff == cropped.yoff
+    assert resized.domain == field.domain
+    assert overlays[-1]["a_locked"] is True
+    assert overlays[-1]["b_locked"] is True
+
+    reversed_crop, = node.process(
+        field,
+        x1=0.75,
+        y1=1.0,
+        x2=0.25,
+        y2=0.25,
+        target_width=0,
+        target_height=0,
+        interpolation="nearest",
+    )
+    assert np.array_equal(reversed_crop.data, cropped.data)
+
+    try:
+        node.process(
+            field,
+            x1=0.9,
+            y1=0.0,
+            x2=0.9,
+            y2=1.0,
+            target_width=0,
+            target_height=0,
+            interpolation="nearest",
+        )
+        raise AssertionError("Expected invalid crop bounds to raise ValueError")
+    except ValueError:
+        pass
+
+    CropResizeField._broadcast_overlay_fn = None
+
+    print("  PASS\n")
+
+
+def test_rotate_field():
+    print("=== Test: RotateField ===")
+    from backend.nodes.modify import RotateField
+    node = RotateField()
+
+    data = np.array([[1, 2, 3], [4, 5, 6]], dtype=np.float64)
+    field = DataField(
+        data=data,
+        xreal=6.0,
+        yreal=4.0,
+        xoff=10.0,
+        yoff=20.0,
+        si_unit_xy="nm",
+        si_unit_z="nm",
+    )
+
+    rotated_90, = node.process(
+        field,
+        angle=90.0,
+        interpolation="nearest",
+        expand_canvas=True,
+    )
+    assert np.array_equal(rotated_90.data, np.rot90(data))
+    assert rotated_90.data.shape == (3, 2)
+    assert rotated_90.xreal == 4.0
+    assert rotated_90.yreal == 6.0
+    assert rotated_90.xoff == 11.0
+    assert rotated_90.yoff == 19.0
+    assert rotated_90.si_unit_xy == field.si_unit_xy
+    assert rotated_90.si_unit_z == field.si_unit_z
+
+    rotated_180, = node.process(
+        field,
+        angle=180.0,
+        interpolation="nearest",
+        expand_canvas=False,
+    )
+    assert np.array_equal(rotated_180.data, np.rot90(data, 2))
+    assert rotated_180.data.shape == data.shape
+    assert rotated_180.xreal == field.xreal
+    assert rotated_180.yreal == field.yreal
+    assert rotated_180.xoff == field.xoff
+    assert rotated_180.yoff == field.yoff
+
+    rotated_45, = node.process(
+        field,
+        angle=45.0,
+        interpolation="bilinear",
+        expand_canvas=True,
+    )
+    expected_xreal = abs(field.xreal * np.cos(np.deg2rad(45.0))) + abs(field.yreal * np.sin(np.deg2rad(45.0)))
+    expected_yreal = abs(field.xreal * np.sin(np.deg2rad(45.0))) + abs(field.yreal * np.cos(np.deg2rad(45.0)))
+    assert rotated_45.data.shape[0] > field.data.shape[0]
+    assert rotated_45.data.shape[1] > field.data.shape[1]
+    assert np.isclose(rotated_45.xreal, expected_xreal)
+    assert np.isclose(rotated_45.yreal, expected_yreal)
+    assert np.isclose(rotated_45.xoff + rotated_45.xreal / 2.0, field.xoff + field.xreal / 2.0)
+    assert np.isclose(rotated_45.yoff + rotated_45.yreal / 2.0, field.yoff + field.yreal / 2.0)
+
+    print("  PASS\n")
+
+
 def test_edge_detect():
     print("=== Test: EdgeDetect ===")
     from backend.nodes.filters import EdgeDetect
@@ -883,6 +1042,30 @@ def test_coordinate():
     print("  PASS\n")
 
 
+def test_range_slider():
+    print("=== Test: RangeSlider ===")
+    from backend.nodes.io import RangeSlider
+
+    node = RangeSlider()
+
+    result = node.process(min_value=0.0, max_value=10.0, value=3.25)
+    assert result == (3.25,)
+
+    # Clamp above max
+    result_high = node.process(min_value=0.0, max_value=10.0, value=12.0)
+    assert result_high == (10.0,)
+
+    # Reversed bounds should still work
+    result_reversed = node.process(min_value=5.0, max_value=-1.0, value=4.0)
+    assert result_reversed == (4.0,)
+
+    # Equal bounds collapse to a fixed value
+    result_fixed = node.process(min_value=2.5, max_value=2.5, value=99.0)
+    assert result_fixed == (2.5,)
+
+    print("  PASS\n")
+
+
 # =========================================================================
 # Analysis — LineCursors
 # =========================================================================
@@ -1137,6 +1320,8 @@ if __name__ == "__main__":
     # Filters
     test_gaussian_filter()
     test_median_filter()
+    test_crop_resize_field()
+    test_rotate_field()
     test_edge_detect()
     test_fft_filter_1d()
     test_fft_filter_2d()
@@ -1173,6 +1358,7 @@ if __name__ == "__main__":
     test_list_channels()
     test_load_demo()
     test_coordinate()
+    test_range_slider()
     test_save_image()
 
     # Display