diff --git a/docs/source/readme.rst b/docs/source/readme.rst
index 58fe9cd..c77123f 100644
--- a/docs/source/readme.rst
+++ b/docs/source/readme.rst
@@ -13,7 +13,7 @@
 What is wavefront shaping?
 --------------------------------
 
-Wavefront shaping (WFS) is a technique for controlling the propagation of light in arbitrarily complex structures, including strongly scattering materials :cite:`kubby2019`. In WFS, a spatial light modulator (SLM) is used to shape the phase and/or amplitude of the incident light. With a properly constructed wavefront, light can be made to focus through :cite:`Vellekoop2007`, or inside :cite:`vellekoop2008demixing` scattering materials; or light can be shaped to have other desired properties, such as optimal sensitivity for specific measurements :cite:`bouchet2021maximum`, specialized point-spread functions :cite:`boniface2017transmission`, spectral filtering :cite:`Park2012`, or for functions like optical trapping :cite:`vcivzmar2010situ`.
+Wavefront shaping (WFS) is a technique for controlling the propagation of light in arbitrarily complex structures, including strongly scattering materials :cite:`kubby2019`. In WFS, a spatial light modulator (SLM) is used to shape the phase and/or amplitude of the incident light. With a properly constructed wavefront, light can be made to focus through :cite:`Vellekoop2007`, or inside :cite:`vellekoop2008demixing` scattering materials; or light can be shaped to have other desired properties, such as optimal sensitivity for specific measurements :cite:`bouchet2021maximum`, specialized point-spread functions :cite:`boniface2017transmission` or spectral filtering :cite:`Park2012`.
 
 It stands out that an important driving force in WFS is the development of new algorithms, for example, to account for sample movement :cite:`valzania2023online`, experimental conditions :cite:`Anderson2016`, to be optimally resilient to noise :cite:`mastiani2021noise`, or to use digital twin models to compute the required correction patterns :cite:`salter2014exploring,ploschner2015seeing,Thendiyammal2020,cox2023model`. Much progress has been made towards developing fast and noise-resilient algorithms, or algorithms designed specifically for the methodology of wavefront shaping, such as using algorithms based on Hadamard patterns :cite:`popoff2010measuring` or Fourier-based approaches :cite:`Mastiani2022`. Fast techniques that enable wavefront shaping in dynamic samples :cite:`Liu2017,Tzang2019` have also been developed, and many potential applications have been prototyped, including endoscopy :cite:`ploschner2015seeing`, optical trapping :cite:`Cizmar2010`, Raman scattering :cite:`Thompson2016`, and deep-tissue imaging :cite:`Streich2021`. Applications extend beyond that of microscope imaging, such as in optimizing photoelectrochemical absorption :cite:`Liew2016` and tuning random lasers :cite:`Bachelard2014`.
 
diff --git a/docs/source/references.bib b/docs/source/references.bib
index 7f00d42..98a39af 100644
--- a/docs/source/references.bib
+++ b/docs/source/references.bib
@@ -108,17 +108,6 @@ @article{valzania2023online
     publisher = {Optica Publishing Group}
 }
 
-@article{vcivzmar2010situ,
-    title = {In situ wavefront correction and its application to micromanipulation},
-    author = {{\v{C}}i{\v{z}}m{\'a}r, Tom{\'a}{\v{s}} and Mazilu, Michael and Dholakia, Kishan},
-    journal = {Nature Photonics},
-    volume = {4},
-    number = {6},
-    pages = {388--394},
-    year = {2010},
-    publisher = {Nature Publishing Group UK London}
-}
-
 @book{zandonellaMassiddaOpenScience2022,
     title = {The Open Science Manual: Make Your Scientific Research Accessible and Reproducible},
     author = {Zandonella Callegher, Claudio and Massidda, Davide},