diff --git a/openflexure_microscope/api/default_extensions/picamera_autocalibrate/extension.py b/openflexure_microscope/api/default_extensions/picamera_autocalibrate/extension.py
index 3b7de2ea..1a0bf539 100644
--- a/openflexure_microscope/api/default_extensions/picamera_autocalibrate/extension.py
+++ b/openflexure_microscope/api/default_extensions/picamera_autocalibrate/extension.py
@@ -1,19 +1,23 @@
 import logging
 from contextlib import contextmanager
+from typing import Iterator, Tuple
 
-import picamerax
+import labthings.fields as fields
 from flask import abort
 from labthings import find_component
 from labthings.extensions import BaseExtension
 from labthings.views import ActionView
+from picamerax import PiCamera
 
 from openflexure_microscope.camera.base import BaseCamera
 from openflexure_microscope.microscope import Microscope
 
 from .recalibrate_utils import (
-    auto_expose_and_freeze_settings,
+    adjust_shutter_and_gain_from_raw,
+    adjust_white_balance_from_raw,
     flat_lens_shading_table,
-    recalibrate_camera,
+    get_channel_percentiles,
+    lst_from_camera,
 )
 
 
@@ -61,64 +65,178 @@ class LSTExtension(BaseExtension):
             "/delete_lens_shading_table",
             endpoint="delete_lens_shading_table",
         )
+        self.add_view(
+            GetRawChannelPercentilesView,
+            "/get_raw_channel_percentiles",
+            endpoint="get_raw_channel_percentiles",
+        )
+        self.add_view(
+            AutoExposureFromRawView,
+            "/auto_exposure_from_raw",
+            endpoint="auto_exposure_from_raw",
+        )
+        self.add_view(
+            AutoWhiteBalanceFromRawView,
+            "/auto_white_balance_from_raw",
+            endpoint="auto_white_balance_from_raw",
+        )
+        self.add_view(
+            AutoLensShadingTableView,
+            "/auto_lens_shading_table",
+            endpoint="auto_lens_shading_table",
+        )
 
-    def recalibrate(self, microscope: Microscope):
+
+@contextmanager
+def find_picamera() -> Iterator[Tuple[PiCamera, BaseCamera, Microscope]]:
+    """Locate the microscope and raise a sensible error if it's missing."""
+    microscope = find_component("org.openflexure.microscope")
+
+    if not microscope:
+        abort(
+            503, "No microscope connected. Unable to use camera calibration functions."
+        )
+
+    scamera = microscope.camera
+
+    if not hasattr(scamera, "picamera"):
+        abort(503, "The PiCamera calibration plugin requires a Raspberry Pi camera.")
+
+    with scamera.lock:
+        yield scamera.picamera, scamera, microscope
+
+
+class RecalibrateView(ActionView):
+    def post(self):
         """Reset the camera's settings.
 
         This generates new gains, exposure time, and lens shading
         table such that the background is as uniform as possible
         with a gray level of 230.  It takes a little while to run.
+
+        This consists of three steps:
+
+        * Reset gain and exposure time, then increase them until
+          we have a suitably bright image
+        * Set the auto white balance based on a raw image
+        * Set the lens shading table based on a raw image
+
+        Each of these steps has its own endpoint if you want to
+        perform them separately.
         """
-        with pause_stream(microscope.camera) as scamera:
-            if hasattr(scamera, "picamera"):
-                picamera_obj: picamerax.PiCamera = getattr(scamera, "picamera")
-                auto_expose_and_freeze_settings(picamera_obj)
-                recalibrate_camera(picamera_obj)
-                microscope.save_settings()
-            else:
-                raise RuntimeError(
-                    "Recalibrate can only be used with a Raspberry Pi camera"
-                )
+        with find_picamera() as (picamera, scamera, microscope):
+            logging.info("Starting microscope recalibration...")
+            adjust_shutter_and_gain_from_raw(picamera)
+            adjust_white_balance_from_raw(picamera)
+            lst = lst_from_camera(picamera)
+            with pause_stream(scamera):
+                picamera.lens_shading_table = lst
+            microscope.save_settings()
 
 
-class RecalibrateView(ActionView):
+class AutoLensShadingTableView(ActionView):
     def post(self):
-        microscope = find_component("org.openflexure.microscope")
+        """Perform flat-field correction
 
-        if not microscope:
-            abort(503, "No microscope connected. Unable to recalibrate.")
-
-        logging.info("Starting microscope recalibration...")
-
-        return self.extension.recalibrate(microscope)
+        This routine acquires a new image (which should be an
+        empty field of view, i.e. a perfect microscope would
+        record a uniform white image), and then uses it to set
+        the "lens shading table" such that future images will
+        be corrected for vignetting.
+        """
+        with find_picamera() as (picamera, scamera, microscope):
+            logging.info("Generating lens shading table")
+            lst = lst_from_camera(picamera)
+            with pause_stream(scamera):
+                picamera.lens_shading_table = lst
+            microscope.save_settings()
 
 
 class FlattenLSTView(ActionView):
     def post(self):
-        microscope = find_component("org.openflexure.microscope")
-
-        if not microscope:
-            abort(
-                503,
-                "No microscope connected. Unable to flatten the lens shading table.",
-            )
-
-        with pause_stream(microscope.camera) as scamera:
-            flat_lst = flat_lens_shading_table(scamera.camera)
-            scamera.camera.lens_shading_table = flat_lst
-        microscope.save_settings()
+        with find_picamera() as (picamera, scamera, microscope):
+            with pause_stream(scamera):
+                flat_lst = flat_lens_shading_table(picamera)
+                picamera.lens_shading_table = flat_lst
+            microscope.save_settings()
 
 
 class DeleteLSTView(ActionView):
     def post(self):
-        microscope = find_component("org.openflexure.microscope")
+        with find_picamera() as (picamera, scamera, microscope):
+            with pause_stream(scamera):
+                picamera.lens_shading_table = None
+            microscope.save_settings()
 
-        if not microscope:
-            abort(
-                503,
-                "No microscope connected. Unable to flatten the lens shading table.",
-            )
 
-        with pause_stream(microscope.camera) as scamera:
-            scamera.camera.lens_shading_table = None
-        microscope.save_settings()
+class AutoExposureFromRawView(ActionView):
+    args = {
+        "target_white_level": fields.Int(
+            missing=700,
+            example=700,
+            description=(
+                "The pixel value (10-bit format) that we aim for when adjusting shutter/gain."
+            ),
+        ),
+        "max_iterations": fields.Int(
+            missing=20,
+            description=(
+                "The number of adjustments to the camera's settings to make before giving up."
+            ),
+        ),
+        "tolerance": fields.Float(
+            missing=0.05,
+            example=0.05,
+            description=(
+                "We stop adjusting when we get within this fraction of the target "
+                "value.  It is a number between 0 and 1, usually 0.01--0.1."
+            ),
+        ),
+        "percentile": fields.Float(
+            missing=99.9,
+            example=99.9,
+            description=(
+                "A float between 0 and 100 setting the centile to use "
+                "to measure the white point of the image.  A value "
+                "of 99.9 allows 0.1% of the pixels to be erroneously "
+                "bright - this helps stability in low light."
+            ),
+        ),
+    }
+
+    def post(self, args):
+        with find_picamera() as (picamera, _, _):
+            adjust_shutter_and_gain_from_raw(picamera, **args)
+
+
+class AutoWhiteBalanceFromRawView(ActionView):
+    args = {
+        "percentile": fields.Float(
+            missing=99.9,
+            example=99.9,
+            description=(
+                "A float between 0 and 100 setting the centile to use "
+                "to measure the white point of the image.  A value "
+                "of 99.9 allows 0.1% of the pixels to be erroneously "
+                "bright - this helps stability in low light."
+            ),
+        )
+    }
+
+    def post(self, args):
+        with find_picamera() as (picamera, _, _):
+            adjust_white_balance_from_raw(picamera, **args)
+
+
+class GetRawChannelPercentilesView(ActionView):
+    args = {
+        "percentile": fields.Float(
+            example=99.9,
+            description="A float between 0 and 100 setting the centile to calculate",
+        )
+    }
+    schema = fields.List(fields.Integer)
+
+    def post(self, args):
+        with find_picamera() as (picamera, _, _):
+            return get_channel_percentiles(picamera, args["percentile"])
diff --git a/openflexure_microscope/api/default_extensions/picamera_autocalibrate/recalibrate_utils.py b/openflexure_microscope/api/default_extensions/picamera_autocalibrate/recalibrate_utils.py
index 445687a9..450584ed 100644
--- a/openflexure_microscope/api/default_extensions/picamera_autocalibrate/recalibrate_utils.py
+++ b/openflexure_microscope/api/default_extensions/picamera_autocalibrate/recalibrate_utils.py
@@ -1,7 +1,39 @@
+"""
+Functions to set up a Raspberry Pi Camera v2 for scientific use
+
+This module provides slower, simpler functions to set the
+gain, exposure, and white balance of a Raspberry Pi camera, using
+`picamerax` (a fork of `picamera`) to get as-manual-as-possible
+control over the camera.  It's mostly used by the OpenFlexure
+Microscope, though it deliberately has no hard dependencies on
+said software, so that it's useful on its own.
+
+There are three main calibration steps:
+
+* Setting exposure time and gain to get a reasonably bright
+  image.
+* Fixing the white balance to get a neutral image
+* Taking a uniform white image and using it to calibrate
+  the Lens Shading Table
+
+The most reliable way to do this, avoiding any issues relating
+to "memory" or nonlinearities in the camera's image processing
+pipeline, is to use raw images.  This is quite slow, but very
+reliable.  The three steps above can be accomplished by:
+
+```
+picamera = picamerax.PiCamera()
+
+adjust_shutter_and_gain_from_raw(picamera)
+adjust_white_balance_from_raw(picamera)
+lst = lst_from_camera(picamera)
+picamera.lens_shading_table = lst
+```
+"""
+
 import logging
 import time
-from fractions import Fraction
-from typing import List, Optional, Tuple
+from typing import List, NamedTuple, Optional, Tuple
 
 import numpy as np
 from picamerax import PiCamera
@@ -33,48 +65,190 @@ def flat_lens_shading_table(camera: PiCamera) -> np.ndarray:
 
 
 def adjust_exposure_to_setpoint(camera: PiCamera, setpoint: int):
-    """Adjust the camera's exposure time until the maximum pixel value is <setpoint>."""
-    print("Adjusting shutter speed to hit setpoint {}".format(setpoint), end="")
+    """Adjust the camera's exposure time until the maximum pixel value is <setpoint>.
+    
+    NB this method uses RGB images (i.e. processed ones) not raw images.
+    """
+    logging.info(f"Adjusting shutter speed to hit setpoint {setpoint}")
     for _ in range(3):
-        print(".", end="")
         camera.shutter_speed = int(
             camera.shutter_speed * setpoint / np.max(rgb_image(camera))
         )
         time.sleep(1)
-    print("done")
 
 
-def auto_expose_and_freeze_settings(camera: PiCamera):
-    """Freeze the settings after auto-exposing to white illumination"""
-    logging.info("Allowing the camera to auto-expose")
-    if "greyworld" in camera.AWB_MODES:
-        print("Calibrating with greyworld AWB")
-        camera.awb_mode = "greyworld"
-    else:
-        print("Calibrating with auto AWB")
-        camera.awb_mode = "auto"
-    camera.exposure_mode = "auto"
-    camera.iso = (
-        0  # This is important, if it's on a fixed ISO, gain might not set properly.
-    )
-    for _ in range(6):
-        print(".", end="")
-        time.sleep(0.5)
-    logging.info("done")
-
-    logging.info("Freezing the camera settings...")
-    camera.shutter_speed = camera.exposure_speed
-    logging.info("Shutter speed = %s", (camera.shutter_speed))
+def set_minimum_exposure(camera: PiCamera):
+    """Enable manual exposure, with low gain and shutter speed
+    
+    We set exposure mode to manual, analog and digital gain
+    to 1, and shutter speed to the minimum (8us for Pi Camera v2)
+    NB ISO is left at auto, because this is needed for the gains
+    to be set correctly.
+    """
     camera.exposure_mode = "off"
-    logging.info("Auto exposure disabled")
-    g: Tuple[Fraction, Fraction] = camera.awb_gains
-    camera.awb_mode = "off"
-    camera.awb_gains = g
-    logging.info("Auto white balance disabled, gains are %s", (g))
+    camera.iso = 0  # We must set ISO=0 (auto) or we can't set gain
+    camera.analog_gain = 1
+    camera.digital_gain = 1
+    # Setting the shutter speed to 1us will result in it being set
+    # to the minimum possible, which is probably 8us for PiCamera v2
+    camera.shutter_speed = 1
+    time.sleep(0.5)
+
+
+class ExposureTest(NamedTuple):
+    """Record the results of testing the camera's current exposure settings"""
+
+    level: int
+    shutter_speed: int
+    analog_gain: float
+
+
+def test_exposure_settings(camera: PiCamera, percentile: float) -> ExposureTest:
+    """Evaluate current exposure settings using a raw image
+
+    We will acquire a raw image and calculate the given percentile
+    of the pixel values.  We return a dictionary containing the
+    percentile (which will be compared to the target), as well as
+    the camera's shutter and gain values.
+    """
+    max_brightness = np.max(get_channel_percentiles(camera, percentile))
+    # The reported brightness can, theoretically, be negative or zero
+    # because of black level compensation.  The line below forces a
+    # minimum value of 1 which will keep things well-behaved!
+    if max_brightness < 1:
+        logging.warning(
+            f"Measured brightness of {max_brightness}. "
+            "This should normally be >= 1, and may indicate the "
+            "camera's black level compensation has gone wrong."
+        )
+        max_brightness = 1
+    shutter_speed = int(camera.shutter_speed)
+    analog_gain = float(camera.analog_gain)
     logging.info(
-        "Analogue gain: %s, Digital gain: %s", camera.analog_gain, camera.digital_gain
+        f"Brightness: {max_brightness: >5.0f}, "
+        f"Gain: {analog_gain: >4.1f}, "
+        f"Shutter: {shutter_speed: >7.0f}"
     )
-    adjust_exposure_to_setpoint(camera, 215)
+    return ExposureTest(max_brightness, shutter_speed, analog_gain)
+
+
+def check_convergence(test: ExposureTest, target: int, tolerance: float):
+    """Check whether the brightness is within the specified target range"""
+    converged = abs(test.level - target) < target * tolerance
+    return converged
+
+
+def adjust_shutter_and_gain_from_raw(
+    camera: PiCamera,
+    target_white_level: int = 700,
+    max_iterations: int = 20,
+    tolerance: float = 0.05,
+    percentile: float = 99.9,
+) -> float:
+    """Adjust exposure and analog gain based on raw images.
+    
+    This routine is slow but effective.  It uses raw images, so we
+    are not affected by white balance or digital gain.
+
+    
+    Arguments:
+        target_white_level: 
+            The raw, 10-bit value we aim for.  The brightest pixels 
+            should be approximately this bright.  Maximum possible 
+            is about 900, 700 is reasonable.
+        max_iterations:
+            We will terminate once we perform this many iterations,
+            whether or not we converge.  More than 10 shouldn't happen.
+        tolerance: 
+            How close to the target value we consider "done".  Expressed
+            as a fraction of the ``target_white_level`` so 0.05 means
+            +/- 5%
+        percentile:
+            Rather then use the maximum value for each channel, we
+            calculate a percentile.  This makes us robust to single
+            pixels that are bright/noisy.  99.9% still picks the top
+            of the brightness range, but seems much more reliable
+            than just ``np.max()``.
+    """
+    if target_white_level * (tolerance + 1) >= 959:
+        raise ValueError(
+            "The target level is too high - a saturated image would be "
+            "considered successful.  target_white_level * (tolerance + 1) "
+            "must be less than 959."
+        )
+
+    set_minimum_exposure(camera)
+
+    # We start with very low exposure settings and work up
+    # until either the brightness is high enough, or we can't increase the
+    # shutter speed any more.
+    iterations = 0
+    while iterations < max_iterations:
+        test = test_exposure_settings(camera, percentile)
+
+        if check_convergence(test, target_white_level, tolerance):
+            break
+        iterations += 1
+
+        # Adjust shutter speed so that the brightness approximates the target
+        # NB we put a maximum of 32 on this, to stop it increasing too quickly.
+        camera.shutter_speed = int(
+            test.shutter_speed * min(target_white_level / test.level, 32)
+        )
+        time.sleep(0.5)
+
+        # Check whether the shutter speed is still going up - if not, we've hit a maximum
+        if camera.shutter_speed == test.shutter_speed:
+            logging.info("Shutter speed has maxed out.")
+            break
+
+    # Now, if we've not converged, increase gain until we converge or run out of options.
+    while iterations < max_iterations:
+        test = test_exposure_settings(camera, percentile)
+        if check_convergence(test, target_white_level, tolerance):
+            break
+        iterations += 1
+
+        # Adjust gain to make the white level hit the target, again with a maximum
+        camera.analog_gain *= min(target_white_level / test.level, 2)
+        time.sleep(0.5)
+
+        # Check the gain is still changing - if not, we have probably hit the maximum
+        if camera.analog_gain == test.analog_gain:
+            logging.info("Gain has maxed out.")
+            break
+
+    if check_convergence(test, target_white_level, tolerance):
+        logging.info(f"Brightness has converged to within {tolerance * 100 :.0f}%.")
+    else:
+        logging.warning(
+            f"Failed to reach target brightness of {target_white_level}."
+            f"Brightness reached {test.level} after {iterations} iterations."
+        )
+
+    return test.level
+
+
+def adjust_white_balance_from_raw(
+    camera: PiCamera, percentile: float = 99
+) -> Tuple[float, float]:
+    """Adjust the white balance in a single shot, based on the raw image.
+    
+    NB if ``channels_from_raw_image`` is broken, this will go haywire.
+    We should probably have better logic to verify the channels really
+    are BGGR...
+    """
+    blue, g1, g2, red = get_channel_percentiles(camera, percentile)
+    green = (g1 + g2) / 2.0
+    new_awb_gains = (green / red, green / blue)
+    logging.info(
+        f"Raw white point is R: {red} G: {green} B: {blue}, "
+        f"setting AWB gains to ({new_awb_gains[0]:.2f}, "
+        f"{new_awb_gains[1]:.2f})."
+    )
+    camera.awb_mode = "off"
+    camera.awb_gains = new_awb_gains
+    return new_awb_gains
 
 
 def channels_from_bayer_array(bayer_array: np.ndarray) -> np.ndarray:
@@ -95,6 +269,21 @@ def channels_from_bayer_array(bayer_array: np.ndarray) -> np.ndarray:
     return channels
 
 
+def get_channel_percentiles(camera: PiCamera, percentile: float) -> np.ndarray:
+    """Calculate the brightness percentile of the pixels in each channel
+    
+    This is a number between -64 and 959 for each channel, because the
+    camera takes 10-bit images (maximum=1023) and its zero level is set
+    at 64 for denoising purposes (there's black level compensation built
+    in, and to avoid skewing the noise, the black level is set as 64 to
+    leave some room for negative values.
+    """
+    with PiBayerArray(camera) as output:
+        camera.capture(output, format="jpeg", bayer=True)
+        channels = channels_from_bayer_array(output.array)
+        return np.percentile(channels, percentile, axis=(1, 2)) - 64
+
+
 def lst_from_channels(channels: np.ndarray) -> np.ndarray:
     """Given the 4 Bayer colour channels from a white image, generate a LST."""
     full_resolution: np.ndarray = np.array(
@@ -165,6 +354,20 @@ def lst_from_channels(channels: np.ndarray) -> np.ndarray:
     return lens_shading_table[::-1, :, :].copy()
 
 
+def lst_from_camera(camera: PiCamera) -> np.ndarray:
+    """Acquire a raw image and use it to calculate a lens shading table."""
+    with PiBayerArray(camera) as a:
+        camera.capture(a, format="jpeg", bayer=True)
+        raw_image = a.array.copy()
+
+    # Now we need to calculate a lens shading table that would make this flat.
+    # raw_image is a 3D array, with full resolution and 3 colour channels.  No
+    # de-mosaicing has been done, so 2/3 of the values are zero (3/4 for R and B
+    # channels, 1/2 for green because there's twice as many green pixels).
+    channels = channels_from_bayer_array(raw_image)
+    return lst_from_channels(channels)
+
+
 def recalibrate_camera(camera: PiCamera):
     """Reset the lens shading table and exposure settings.
 
@@ -178,16 +381,7 @@ def recalibrate_camera(camera: PiCamera):
     camera.lens_shading_table = flat_lens_shading_table(camera)
     _ = rgb_image(camera)  # for some reason the camera won't work unless I do this!
 
-    with PiBayerArray(camera) as a:
-        camera.capture(a, format="jpeg", bayer=True)
-        raw_image = a.array.copy()
-
-    # Now we need to calculate a lens shading table that would make this flat.
-    # raw_image is a 3D array, with full resolution and 3 colour channels.  No
-    # de-mosaicing has been done, so 2/3 of the values are zero (3/4 for R and B
-    # channels, 1/2 for green because there's twice as many green pixels).
-    channels = channels_from_bayer_array(raw_image)
-    lens_shading_table = lst_from_channels(channels)
+    lens_shading_table = lst_from_camera(camera)
 
     camera.lens_shading_table = lens_shading_table
     _ = rgb_image(camera)
diff --git a/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettings.vue b/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettings.vue
index 8e37a0b9..67c1fdda 100644
--- a/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettings.vue
+++ b/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettings.vue
@@ -3,7 +3,7 @@
     <div class="uk-grid uk-grid-divider uk-child-width-expand" uk-grid>
       <div class="uk-width-large">
         <h3>Manual camera settings</h3>
-        <form @submit.prevent="applySettingsRequest">
+        <form @submit.prevent="applySettingsRequest" >
           <div class="uk-margin-small-bottom">
             <ul uk-accordion="multiple: true">
               <li class="uk-open">
@@ -31,7 +31,7 @@
                         v-model="picamera.analog_gain"
                         class="uk-input uk-form-small"
                         type="number"
-                        step="0.000001"
+                        step="0.0000000000000001"
                       />
                     </div>
                   </div>
@@ -45,7 +45,29 @@
                         v-model="picamera.digital_gain"
                         class="uk-input uk-form-small"
                         type="number"
-                        step="0.000001"
+                        step="0.0000000000000001"
+                      />
+                    </div>
+                  </div>
+
+                  <div v-if="picamera.awb_gains !== undefined">
+                    <label class="uk-form-label" for="form-stacked-text" >
+                      White Balance gains
+                    </label>
+                    <div class="uk-form-controls">
+                      <label class="uk-form-label" >R:</label>
+                      <input
+                        v-model="picamera.awb_gains[0]"
+                        class="uk-input uk-form-small"
+                        type="number"
+                        step="0.0000000000000001"
+                      />
+                      <label class="uk-form-label" >B:</label>
+                      <input
+                        v-model="picamera.awb_gains[1]"
+                        class="uk-input uk-form-small"
+                        type="number"
+                        step="0.0000000000000001"
                       />
                     </div>
                   </div>
@@ -194,7 +216,8 @@ export default {
         shutter_speed: undefined,
         analog_gain: undefined,
         digital_gain: undefined,
-        framerate: undefined
+        framerate: undefined,
+        awb_gains: undefined
       },
       mjpeg_bitrate: undefined,
       stream_resolution: undefined,
@@ -244,6 +267,7 @@ export default {
             this.picamera.digital_gain = cameraSettings.picamera.digital_gain;
             this.picamera.shutter_speed = cameraSettings.picamera.shutter_speed;
             this.picamera.framerate = cameraSettings.picamera.framerate;
+            this.picamera.awb_gains = cameraSettings.picamera.awb_gains;
           }
         })
         .catch(error => {
@@ -263,7 +287,11 @@ export default {
             shutter_speed: parseFloat(this.picamera.shutter_speed),
             analog_gain: parseFloat(this.picamera.analog_gain),
             digital_gain: parseFloat(this.picamera.digital_gain),
-            framerate: parseInt(this.picamera.framerate)
+            framerate: parseInt(this.picamera.framerate),
+            awb_gains: [
+              parseFloat(this.picamera.awb_gains[0]),
+              parseFloat(this.picamera.awb_gains[1]),
+            ],
           }
         }
       };
diff --git a/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettingsComponents/cameraCalibrationSettings.vue b/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettingsComponents/cameraCalibrationSettings.vue
index e6f3c8d8..c306e87b 100644
--- a/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettingsComponents/cameraCalibrationSettings.vue
+++ b/openflexure_microscope/api/static/src/components/tabContentComponents/settingsComponents/cameraSettingsComponents/cameraCalibrationSettings.vue
@@ -9,7 +9,44 @@
           'Start recalibration? This may take a while, and the microscope will be locked during this time.'
         "
         :submit-url="recalibrationLinks.recalibrate.href"
-        :submit-label="'Auto-Calibrate'"
+        :submit-label="'Full Auto-Calibrate'"
+        @response="onRecalibrateResponse"
+        @error="modalError"
+      >
+      </taskSubmitter>
+    </div>
+    <div v-if="'auto_exposure_from_raw' in recalibrationLinks" class="uk-margin-small">
+      <taskSubmitter
+        :can-terminate="false"
+        :requires-confirmation="false"
+        :submit-url="recalibrationLinks.auto_exposure_from_raw.href"
+        :submit-label="'Auto gain &amp; shutter speed'"
+        @response="onRecalibrateResponse"
+        @error="modalError"
+      >
+      </taskSubmitter>
+    </div>
+    <div v-if="'auto_white_balance_from_raw' in recalibrationLinks" class="uk-margin-small">
+      <taskSubmitter
+        :can-terminate="false"
+        :requires-confirmation="false"
+        :submit-url="recalibrationLinks.auto_white_balance_from_raw.href"
+        :submit-label="'Auto white balance'"
+        @response="onRecalibrateResponse"
+        @error="modalError"
+      >
+      </taskSubmitter>
+    </div>
+    <div v-if="'auto_lens_shading_table' in recalibrationLinks" class="uk-margin-small">
+      <taskSubmitter
+        :can-terminate="false"
+        :requires-confirmation="true"
+        :confirmation-message="
+          'Is the microscope looking at an evenly illuminated, empty field of view? ' +
+          'If not, the current image will show through in any images captured afterwards.'
+        "
+        :submit-url="recalibrationLinks.auto_lens_shading_table.href"
+        :submit-label="'Auto flat field correction'"
         @response="onRecalibrateResponse"
         @error="modalError"
       >
@@ -22,15 +59,7 @@
         class="uk-button uk-button-danger uk-width-1-1"
         @click="flattenLensShadingTableRequest"
       >
-        Disable flat-field correction
-      </button>
-
-      <button
-        v-if="'delete_lens_shading_table' in recalibrationLinks"
-        class="uk-button uk-button-danger uk-margin-small-top uk-width-1-1"
-        @click="deleteLensShadingTableRequest"
-      >
-        Adaptive flat-field correction
+        Disable flat field correction
       </button>
     </div>
 
diff --git a/poetry.lock b/poetry.lock
deleted file mode 100644
index 2e5f3cbe..00000000
--- a/poetry.lock
+++ /dev/null
@@ -1,1592 +0,0 @@
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diff --git a/pyproject.toml b/pyproject.toml
index 60a5c539..1465fb29 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -45,6 +45,7 @@ isort = "isort ."
 pylint = "pylint openflexure_microscope"
 mypy = "mypy --cobertura-xml-report openflexure_microscope openflexure_microscope"
 test = "pytest ."
+serve = "python -m openflexure_microscope.api.app"
 
 format = ["black", "isort"]
 lint = ["pylint", "mypy"]