### Install All Optional Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install all optional dependencies at once, including GPU, SLMs, cameras, images, and Jupyter support, using the 'dev' extra.

```bash
pip install -e ".[dev]"

```

--------------------------------

### Install SLMSUITE from PyPI

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install the stable version of SLMSUITE from the Python Package Index (PyPI). This is the recommended method for most users.

```console
pip install slmsuite
```

--------------------------------

### Install SLMSUITE from GitHub

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install the latest development version of slmsuite directly from its GitHub repository.

```bash
pip install git+https://github.com/holodyne/slmsuite

```

--------------------------------

### Install SLMSUITE from PyPI

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install the stable version of slmsuite from the Python Package Index.

```bash
pip install slmsuite

```

--------------------------------

### Simulate SLM and Camera Setup

Source: https://slmsuite.readthedocs.io/en/latest/_examples/computational_holography.html

Creates virtual SLM and camera objects for simulation purposes. Initializes a FourierSLM setup to hold both devices.

```python
# Create a virtual SLM and camera
from slmsuite.hardware.slms.simulated import SimulatedSLM
from slmsuite.hardware.cameras.simulated import SimulatedCamera
from slmsuite.hardware.cameraslms import FourierSLM

# Assume a 532 nm laser
wav_um = 0.532
slm = SimulatedSLM((slm_size[1], slm_size[0]), pitch_um=(10, 10), wav_um=wav_um)
camera = SimulatedCamera(slm)

# The setup (a FourierSLM setup with a camera placed in the Fourier plane of an SLM) holds the camera and SLM.
setup = FourierSLM(camera, slm)
hologram.cameraslm = setup

```

--------------------------------

### Install All Optional Dependencies (Development)

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install all optional dependencies at once using the 'dev' extra. This includes GPU, SLMs, cameras, images, Jupyter, docs, and testing dependencies for a full development environment.

```console
pip install -e ".[dev]"
```

--------------------------------

### Install Image Saving Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install optional dependencies for saving images and videos, such as imageio and pyav for various formats.

```bash
pip install -e ".[images]"

```

--------------------------------

### Install Camera Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install optional dependencies required for interfacing with various camera hardware. This includes libraries like instrumental-lib and pylablib.

```bash
pip install -e ".[cameras]"

```

--------------------------------

### setup

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.xenics.Cheetah640.html

Sets up sample pre-configured imaging profiles. This is likely to be reconfigured by the end-user for various imaging tasks.

```APIDOC
## setup

### Description
Sample pre-configured imaging profiles.
Likely to be reconfigured by end-user for various imaging tasks.

### Parameters
* **profile** - Required - See `profile`.
* **fpt** (int) - Optional - Frames per trigger for input trigger. Defaults to 1.
```

--------------------------------

### Install SLMSUITE from GitHub

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install the latest development version of SLMSUITE directly from its GitHub repository. This is useful for accessing the newest features or contributing to the project.

```console
pip install git+https://github.com/holodyne/slmsuite
```

--------------------------------

### Install PyTorch for Gradients

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install optional dependencies for gradient-based hologram optimization using PyTorch. This can utilize cupy for GPU acceleration.

```bash
pip install -e ".[torch]"

```

--------------------------------

### Install Dependencies from Local Clone

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install all necessary dependencies for SLMSUITE when working from a local clone of the repository. This command should be run from within the cloned package directory.

```console
pip install -e .
```

--------------------------------

### Install Image Saving Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install optional dependencies for image and video saving, including imageio, pyav for video formats, and pygifsicle for GIF optimization.

```console
pip install -e ".[images]"
```

--------------------------------

### Install Jupyter Support Packages

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install optional packages recommended for using Jupyter notebooks with SLMSUITE, enhancing interactive computing capabilities.

```bash
pip install -e ".[jupyter]"

```

--------------------------------

### Install SLM Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install optional dependencies for controlling Spatial Light Modulators (SLMs), primarily pyglet. Other SLMs can be loaded via .dll files.

```console
pip install -e ".[slms]"
```

--------------------------------

### Server Setup for Remote Hardware Control

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.remote.html

Sets up a server to host simulated SLM and camera hardware for remote access. This code should be run in the server environment.

```python
from slmsuite.hardware.slms.simulated import SimulatedSLM
from slmsuite.hardware.cameras.simulated import SimulatedCamera
from slmsuite.hardware.remote import Server

slm = SimulatedSLM((1600, 1200), pitch_um=(8,8), name="remote_slm")
cam = SimulatedCamera(slm, (1440, 1100), pitch_um=(4,4), gain=50, name="remote_camera")

server = Server(
    hardware=[slm, cam],
    port=5025,
)
```

--------------------------------

### Initialize Instrumental Camera

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.instrumental.Instrumental.html

Demonstrates how to initialize and wrap an instrumental camera using the Instrumental class. This example shows loading a legacy Thorlabs camera and then wrapping it.

```python
from instrumental.drivers.cameras.uc480 import UC480Camera
i_cam = UC480Camera()

from slmsuite.hardware.cameras.instrumental import Instrumental
cam = Instrumental(i_cam)
```

--------------------------------

### Get Hardware Info

Source: https://slmsuite.readthedocs.io/en/latest/_examples/experimental_holography.html

Use the `.info()` static method to list available hardware. This is useful for identifying connected devices before initialization.

```python
PLM.info();
```

```text
Display Positions:
#,  Position
0,  x=0, y=0, width=1920, height=1080 (main)
1,  x=1920, y=0, width=2716, height=1600 (has ScreenMirrored)

```

```python
from slmsuite.hardware.cameras.flir import FLIR
FLIR.info();
```

```text
  0: 22562470 (Blackfly S BFS-U3-161S7M)

```

--------------------------------

### Install Required Dependencies Locally

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install core Python dependencies for slmsuite when working from a local clone. This command is run from within the package directory.

```bash
pip install -e .

```

--------------------------------

### Install Jupyter Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install recommended Jupyter-related packages for interactive computing. This enables the use of Jupyter notebooks with SLMSUITE.

```console
pip install -e ".[jupyter]"
```

--------------------------------

### Initialize Physical or Virtual Hardware

Source: https://slmsuite.readthedocs.io/en/latest/_examples/zernike_holography.html

This snippet demonstrates loading physical SLM and camera hardware, with a fallback to simulated hardware if physical loading fails. It includes camera region-of-interest cropping and SLM calibration.

```python
# Try to load physical hardware.
try:
    from slmsuite.hardware.slms.texasinstruments import PLM
    from slmsuite.hardware.cameras.flir import FLIR

    # Load the hardware.
    slm = PLM('p67', 1, wav_um=0.488, settle_time_s=0.05, configure_usb=True); print()
    cam = FLIR(serial="22562470", pitch_um=2.74)

    # For this camera, we also want to crop the WOI to the center 1024x1024 area.
    h_max, w_max = cam.default_shape
    cam.set_woi(((w_max - 1024) // 2, 1024, (h_max - 1024) // 2, 1024))

    # Load the composite CameraSLM.
    fs = FourierSLM(cam, slm)
    fs.load_calibration("wavefront_superpixel");
    fs.wavefront_calibration_superpixel_process(plot=True, r2_threshold=.8)
# Fallback to virtual hardware.
except Exception as e:
    print(f"Loading physical hardware failed; loading virtual hardware. Error:\n{str(e)}")
    from slmsuite.hardware.slms.simulated import SimulatedSLM
    from slmsuite.hardware.cameras.simulated import SimulatedCamera

    # Make the SLM and camera.
    slm = SimulatedSLM((1600, 1200), pitch_um=(8,8))
    # Program the simulated and calibrated sources to be flat phase.
    slm.set_source_analytic(sim=True)
    slm.set_source_analytic()

    cam = SimulatedCamera(slm, (1440, 1100), pitch_um=(4,4), gain=200)

    # Tie the camera and SLM together with an analytic calibration.
    fs = FourierSLM(cam, slm)
    M, b = fs.fourier_calibration_build(
        f_eff=80000.,                              # f_eff of 80000 wavelengths or 80 mm with the default 1 um wavelength
        theta=5 * np.pi / 180,
    )
    cam.set_affine(M, b)
    fs.fourier_calibrate_analytic(M, b)
```

--------------------------------

### Clone SLMSUITE Repository

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Clone the SLMSUITE source code from GitHub. This is a prerequisite for development installs and for installing dependencies directly.

```console
git clone https://github.com/holodyne/slmsuite
```

--------------------------------

### Initialize SLM and Camera Hardware

Source: https://slmsuite.readthedocs.io/en/latest/_examples/structured_light.html

This snippet attempts to load physical SLM and camera hardware, falling back to simulated versions if unsuccessful. It also loads and processes wavefront calibration data. Ensure necessary libraries are installed for physical hardware.

```python
# Try to load physical hardware.
try:
    from slmsuite.hardware.slms.texasinstruments import PLM
    from slmsuite.hardware.cameras.flir import FLIR

    # Load the hardware.
    slm = PLM('p67', 1, wav_um=0.488, settle_time_s=0.05, configure_usb=True); print()
    cam = FLIR(serial="22562470", pitch_um=2.74)

    # For this camera, we also want to crop the WOI to the center 1024x1024 area.
    h_max, w_max = cam.default_shape
    cam.set_woi(((w_max - 1024) // 2, 1024, (h_max - 1024) // 2, 1024))

    # Load the composite CameraSLM.
    fs = FourierSLM(cam, slm)
    fs.load_calibration("wavefront_superpixel");    # We'll come back to this next tutorial!
    fs.wavefront_calibration_superpixel_process(plot=True, r2_threshold=.8)
# Fallback to virtual hardware.
except Exception as e:
    print(f"Loading physical hardware failed; loading virtual hardware. Error:\n{str(e)}")
    from slmsuite.hardware.slms.simulated import SimulatedSLM
    from slmsuite.hardware.cameras.simulated import SimulatedCamera

    # Make the SLM and camera.
    slm = SimulatedSLM((1600, 1200), pitch_um=(8,8))
    # Program the simulated and calibrated sources to be flat phase.
    slm.set_source_analytic(sim=True)
    slm.set_source_analytic()

    cam = SimulatedCamera(slm, (1440, 1100), pitch_um=(4,4), gain=200)

    # Tie the camera and SLM together with an analytic calibration.
    fs = FourierSLM(cam, slm)
    M, b = fs.fourier_calibration_build(
        f_eff=80000.,                              # f_eff of 80000 wavelengths or 80 mm with the default 1 um wavelength
        theta=5 * np.pi / 180,
    )
    cam.set_affine(M, b)
    fs.fourier_calibrate_analytic(M, b)
```

--------------------------------

### setup_grabber

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.xenics.Cheetah640.html

Sets up the frame grabber capture mode.

```APIDOC
## setup_grabber

### Description
Setup frame grabber capture mode.

### Parameters
* **mode** (int) - Optional - Capture mode. 0: circular buffer, 1: waits till all frames grabbed before restarting capture, 2: non-circular (Stops grabbing when buffer filled). Defaults to 0.
* **frames** (int) - Optional - Number of frames to capture. Defaults to 4000.
```

--------------------------------

### Install GPU Acceleration Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/installation.html

Install optional dependencies for GPU acceleration, including cupy. Ensure your CUDA version is compatible.

```bash
pip install -e ".[gpu]"

```

--------------------------------

### Install PyTorch Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install optional dependencies for PyTorch, which is required for conjugate gradient hologram optimization. This enables both GPU and CPU modes.

```console
pip install -e ".[torch]"
```

--------------------------------

### Install GPU Acceleration Dependencies

Source: https://slmsuite.readthedocs.io/en/latest/_sources/installation.rst.txt

Install optional dependencies required for GPU acceleration, including CuPy. This command enables GPU-accelerated holography.

```console
pip install -e ".[gpu]"
```

--------------------------------

### Server Initialization

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.remote.Server.html

Initializes a server to host slmsuite hardware: cameras and SLMs. Interface with this server using RemoteSLM and RemoteCamera.

```APIDOC
## Server

### Description
Server for handling client commands and interfacing with hardware.

### Method
__init__

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Parameters
* **hardware** (List[object]) - Required - List of hardware objects to serve.
* **port** (int) - Optional - Port number to serve on. Defaults to 5025 (commonly used for instrument control).
* **timeout** (float) - Optional - Timeout in seconds for the server to wait for a client. Defaults to 0.5.
* **allowlist** (Optional[List[str]]) - Optional - List of IP addresses to allow to connect. Defaults to None (allow all). Keep in mind that IP addresses can be spoofed, so this allowlist provides only modest security.
```

--------------------------------

### Initialize SLM and Camera

Source: https://slmsuite.readthedocs.io/en/latest/_examples/multiplane_holography.html

Initializes physical or virtual SLM and camera hardware, including loading calibration data. Use this to set up your optical system.

```python
# Try to load physical hardware.
try:
    from slmsuite.hardware.slms.texasinstruments import PLM
    from slmsuite.hardware.cameras.flir import FLIR

    # Load the hardware.
    slm = PLM('p67', 1, wav_um=0.488, settle_time_s=0.05, configure_usb=True); print()
    cam = FLIR(serial="22562470", pitch_um=2.74, bitdepth=12)

    # For this camera, we also want to crop the WOI to the center 1024x1024 area.
    h_max, w_max = cam.default_shape
    d_im = 1920
    cam.set_woi(((w_max - d_im) // 2, d_im, (h_max - d_im) // 2, d_im))

    # Load the composite CameraSLM.
    fs = FourierSLM(cam, slm)
    fs.load_calibration("wavefront_superpixel");
    fs.wavefront_calibration_superpixel_process(plot=True, r2_threshold=.8)
# Fallback to virtual hardware.
except Exception as e:
    print(f"Loading physical hardware failed; loading virtual hardware. Error:\n{str(e)}")
    from slmsuite.hardware.slms.simulated import SimulatedSLM
    from slmsuite.hardware.cameras.simulated import SimulatedCamera

    # Make the SLM and camera.
    slm = SimulatedSLM((1600, 1200), pitch_um=(8,8))
    # Program the simulated and calibrated sources to be flat phase.
    slm.set_source_analytic(sim=True)
    slm.set_source_analytic()

    cam = SimulatedCamera(slm, (1440, 1100), pitch_um=(4,4), gain=200)

    # Tie the camera and SLM together with an analytic calibration.
    fs = FourierSLM(cam, slm)
    M, b = fs.fourier_calibration_build(
        f_eff=80000.,                              # f_eff of 80000 wavelengths or 80 mm with the default 1 um wavelength
        theta=5 * np.pi / 180,
    )
    cam.set_affine(M, b)
    fs.fourier_calibrate_analytic(M, b)
```

--------------------------------

### SimulatedCamera Initialization

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.simulated.SimulatedCamera.html

Initializes the SimulatedCamera. This method sets up the camera, optionally displaying a live viewer and controls.

```APIDOC
## SimulatedCamera.__init__()

### Description
Initializes the SimulatedCamera, optionally creating a live viewer and controls.

### Parameters
* **activate** (_bool OR None_) – If `True`, creates a live viewer in the current cell, destroying any other attached viewer. If `False`, destroys any other attached viewer. If `None`, toggles the live viewer, destroying any attached viewer or creating one in the current cell if none is attached. Defaults to `None`.
* **widgets** (_bool_) – If `True`, also displays sliders and controls used to hone the display properties.
* **backend** (_str_) – Placeholder option for different types of viewers. The default is `"ipython"`.
* ****kwargs** – Options passed to the `_CameraViewer` to customize the default settings. These features will be made less hidden in the future. Most things are customizable via these keywords. For instance, the user can pass a custom list of colormaps to appear in the widget dropdown as `cmap_options=`.
```

--------------------------------

### Load Vendor Phase Calibration (Commented Out)

Source: https://slmsuite.readthedocs.io/en/latest/_examples/wavefront_calibration.html

This snippet shows how to load vendor-provided phase calibration data from a CSV file. The code is commented out as the example did not have access to the calibration file. Update the file_path to load your specific calibration data.

```python
# slm.load_vendor_phase_correction(
#     file_path='Wavefront_correction_Data_221136000005(830nm).csv',  # Update this path to load your calibration
#     smooth=True
# )
```

--------------------------------

### get_exposure()

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.camera.Camera.html

Get the frame integration time in seconds.

```APIDOC
## get_exposure()

### Description
Get the frame integration time in seconds. Used in `autoexposure()`.

### Method
`get_exposure()`

### Returns

* **Integration time** (float) - The integration time in seconds.
```

--------------------------------

### List Available SLM Displays

Source: https://slmsuite.readthedocs.io/en/latest/_examples/experimental_holography.html

Use the .info() static method to list available displays for ScreenMirrored SLMs. This helps identify the correct display number for configuration.

```python
from slmsuite.hardware.slms.texasinstruments import PLM
PLM.info();
```

--------------------------------

### CG Loss Function Example

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.holography.algorithms.Hologram.html

This example demonstrates how a user-provided `torch.nn.Module` is used as a loss function for the Conjugate Gradient (CG) optimization method. The loss function receives the computed farfield (with gradients) and target values, and its `backward()` method is called internally to back-propagate gradients to the phase.

```python
result = loss(
    farfield,
    target
)
result.backward()
```

--------------------------------

### Get Weights

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.holography.algorithms.SpotHologram.html

Returns the current weights, collecting them from the GPU if applicable.

```python
get_weights()
```

--------------------------------

### Camera Initialization

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.camera.Camera.html

Initializes a camera with specified parameters, including resolution, bit depth, and transformation settings.

```APIDOC
## `__init__`

Initializes a camera.
In addition to the other class attributes, accepts the following parameters to set `transform`. See `get_orientation_transformation()`.

Parameters:
* `_resolution_` (tuple): The resolution of the camera (height, width).
* `_bitdepth` (int, optional): The bit depth of the camera. Defaults to 8.
* `_pitch_um` (float or tuple, optional): The pixel pitch in microns. Defaults to None.
* `_name` (str, optional): An identifier for the camera. Defaults to 'camera'.
* `_exposure_bounds_s` (tuple, optional): The shortest and longest allowable integration times in seconds. Defaults to None.
* `_averaging` (int or None, optional): The default setting for averaging. Defaults to None.
* `_capture_attempts` (int, optional): The number of capture attempts in case of errors. Defaults to 5.
* `_hdr` (tuple or None, optional): The default setting for High Dynamic Range imaging. Defaults to None.
* `_rot` (str, optional): Rotation setting ('0', '90', '180', '270'). Defaults to '0'.
* `_fliplr` (bool, optional): Whether to flip the image horizontally. Defaults to False.
* `_flipud` (bool, optional): Whether to flip the image vertically. Defaults to False.
```

--------------------------------

### MMCore Get Images

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mmcore.MMCore.html

Captures a specified number of images in succession.

```APIDOC
## get_images

### Description
Grab `image_count` images in succession.

### Parameters
* **image_count** (_int_) – The number of images to capture.
```

--------------------------------

### MindVision Get Images

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mindvision.MindVision.html

Grabs a specified number of images in succession.

```APIDOC
## get_images

### Description
Grab `image_count` images in succession.
```

--------------------------------

### configure

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.xenics.Cheetah640.html

Loads a pre-stored imaging profile from an XC_SaveSettings XCF file.

```APIDOC
## configure

### Description
Loads pre-stored imaging profile from XC_SaveSettings XCF file.

### Parameters
* **format_file** (str) - Required - Path to XCF file containing format information.
```

--------------------------------

### MindVision Get Image

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mindvision.MindVision.html

Captures, processes, and returns an image from the camera.

```APIDOC
## get_image

### Description
Capture, process, and return images from a camera.
```

--------------------------------

### live

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.remote.RemoteCamera.html

Creates and displays an IPython camera viewer for live image display.

```APIDOC
## live

Creates and displays an IPython camera viewer.
```

--------------------------------

### Initialize and Wrap a PyLabLib Camera

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.pylablib.PyLabLib.html

Demonstrates how to load a legacy Thorlabs camera using a specific driver and then wrap it with the PyLabLib class for compatibility with SLMSuite. This is essential for using pylablib cameras within the SLMSuite ecosystem.

```python
import pylablib as pll
pll.par["devices/dlls/uc480"] = "path/to/uc480/dlls"
from pylablib.devices.uc480 import UC480Camera
pll_cam = UC480Camera()

# Wrap the camera with the slmsuite-compatible class.
from slmsuite.hardware.cameras.pylablib import PyLabLib
cam = PyLabLib(pll_cam)
```

--------------------------------

### Get Source Center

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.slms.holoeye.Holoeye.html

Extracts the scaling for `zernike_aperture()` from the scalars computed in `fit_source_amplitude()`.

```APIDOC
## get_source_center

### Description
Extracts the scaling for `zernike_aperture()` from the scalars computed in `fit_source_amplitude()`.
```

--------------------------------

### Get Multiple Images

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.imagingsource.ImagingSource.html

Grabs a specified number of images in succession from the camera.

```APIDOC
## get_images

### Description
Grab `image_count` images in succession.

### Parameters
* **image_count** (int) - The number of images to grab.
```

--------------------------------

### PyLabLib Initialization

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.pylablib.PyLabLib.html

Initializes the PyLabLib camera wrapper. Requires a pre-initialized pylablib camera object.

```APIDOC
## __init__

### Description
Initialize camera and attributes. Initial profile is "single".

### Parameters
* **cam** (_pylablib.devices.interface.camera.Camera_) – Required. This class is just a wrapper for `pylablib`, so the user must pass a constructed `pylablib` camera. For example:
```python
# Load a legacy Thorlabs camera using the UC480 driver.
import pylablib as pll
pll.par["devices/dlls/uc480"] = "path/to/uc480/dlls"
from pylablib.devices.uc480 import UC480Camera
pll_cam = UC480Camera()

# Wrap the camera with the slmsuite-compatible class.
from slmsuite.hardware.cameras.pylablib import PyLabLib
cam = PyLabLib(pll_cam)
```
* **pitch_um** (_(__float__,__float__)_ OR None_) – Optional. Fill in extra information about the pixel pitch in `(dx_um, dy_um)` form to use additional calibrations.
* **verbose** (_bool_) – Optional. Whether or not to print extra information.
* **kwargs** – See `Camera.__init__()` for permissible options.

### Raises
* **RuntimeError** – If the camera can not be reached.
```

--------------------------------

### start_capture

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.xenics.Cheetah640.html

Initiates the current capture run.

```APIDOC
## start_capture

### Description
Initiates the current capture run.
```

--------------------------------

### MMCore Get Image

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mmcore.MMCore.html

Captures, processes, and returns a single image from the camera.

```APIDOC
## get_image

### Description
Capture, process, and return images from a camera.

### Returns
Captured and processed image data.
```

--------------------------------

### MindVision Get Exposure

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mindvision.MindVision.html

Retrieves the current frame integration time in seconds.

```APIDOC
## get_exposure

### Description
Get the frame integration time in seconds.
```

--------------------------------

### Camera Utilities

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.basler.Basler.html

Includes methods for testing core hardware functionality and creating a live camera viewer.

```APIDOC
## test

### Description
Tests the core hardware methods of `Camera`.
```

```APIDOC
## live

### Description
Creates and displays an IPython camera viewer.
```

--------------------------------

### Get Source Zernike Scaling

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.slms.holoeye.Holoeye.html

Extracts the scaling for `zernike_aperture()` from the scalars computed in `fit_source_amplitude()`.

```APIDOC
## get_source_zernike_scaling

### Description
Extracts the scaling for `zernike_aperture()` from the scalars computed in `fit_source_amplitude()`.
```

--------------------------------

### Digitization Bitdepth Control

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.basler.Basler.html

Methods to set and get the camera's digitization bitdepth.

```APIDOC
## set_adc_bitdepth

### Description
Set the digitization bitdepth.

### Parameters
* **bitdepth** (_int_) – Desired digitization bitdepth.
```

```APIDOC
## get_adc_bitdepth

### Description
Get the digitization bitdepth.

### Returns
The digitization bitdepth.

### Return type
int
```

--------------------------------

### setup_output_trigger

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.xenics.Cheetah640.html

Configures the output trigger settings.

```APIDOC
## setup_output_trigger

### Description
Configures output trigger.

### Parameters
* **enable** (bool) - Optional - Whether to enable the output trigger. Defaults to True.
* **mode** (int) - Optional - Trigger properties. 0: active low, 1: active high. Defaults to 1.
* **source** (int) - Optional - Source of the input trigger. 0: integration start, 1: trigger input, 2: integration period. Defaults to 2.
* **delay** (float) - Optional - Trigger delay in microseconds. Defaults to 0.
* **width** (float) - Optional - Number of frames to skip after trigger. Defaults to 10.
* **verbose** (bool) - Optional - Enable debug printout. Defaults to False.
```

--------------------------------

### MMCore Get Exposure

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mmcore.MMCore.html

Retrieves the current frame integration time (exposure) of the camera in seconds.

```APIDOC
## get_exposure

### Description
Get the frame integration time in seconds.

### Returns
Frame integration time in seconds.

### Return type
float
```

--------------------------------

### Initialize SLM and Camera System

Source: https://slmsuite.readthedocs.io/en/latest/_examples/wavefront_calibration.html

Initializes the SLM and camera, either with physical hardware (PLM, FLIR) or simulated equivalents. Configures camera region of interest and ties the camera and SLM together with an analytic calibration.

```python
# Try to load physical hardware.
try:
    from slmsuite.hardware.slms.texasinstruments import PLM
    from slmsuite.hardware.cameras.flir import FLIR

    # Load the hardware.
    slm = PLM('p67', 1, wav_um=0.488, settle_time_s=0.05, configure_usb=True); print()
    cam = FLIR(serial="22562470", pitch_um=2.74, bitdepth=12)

    # For this camera, we also want to crop the WOI to the center 1024x1024 area.
    h_max, w_max = cam.default_shape
    cam.set_woi(((w_max - 1024) // 2, 1024, (h_max - 1024) // 2, 1024))

    # Load the composite CameraSLM.
    fs = FourierSLM(cam, slm)
# Fallback to virtual hardware.
except Exception as e:
    print(f"Loading physical hardware failed; loading virtual hardware. Error:\n{str(e)}")
    from slmsuite.hardware.slms.simulated import SimulatedSLM
    from slmsuite.hardware.cameras.simulated import SimulatedCamera

    # Make the SLM and camera.
    slm = SimulatedSLM((1600, 1200), pitch_um=(8,8))
    from slmsuite.holography.toolbox.phase import zernike_sum
    phase_aberration = zernike_sum(
        slm,
        indices=(3, 4, 5, 7, 8),
        weights=(1, -2, 3, 1, 1),
        aperture=None,
        use_mask=False
    )
    slm.set_source_analytic(
        phase_offset=phase_aberration,
        sim=True
    )
    slm.plot_source(sim=True)

    cam = SimulatedCamera(slm, (1440, 1100), pitch_um=(4,4), gain=200)

    # Tie the camera and SLM together with an analytic calibration.
    fs = FourierSLM(cam, slm)
    M, b = fs.fourier_calibration_build(
        f_eff=80000.,                              # f_eff of 80000 wavelengths or 80 mm with the default 1 um wavelength
        theta=5 * np.pi / 180,
    )
    cam.set_affine(M, b)
    fs.fourier_calibrate_analytic(M, b)
```

--------------------------------

### MindVision Print Capability

Source: https://slmsuite.readthedocs.io/en/latest/_autosummary/slmsuite.hardware.cameras.mindvision.MindVision.html

A MindVision specific method to print the capability of the camera, copied from MindVision examples.

```APIDOC
## print_capability

### Description
MindVision specific method (copied from MindVision examples) to print the capability of the camera.
```